Patent Grant
7899232
The present invention relates generally to security systems and, more particularly, to methods and systems for screening luggage items having functionality for testing luggage screening equipment operators by displaying simulated threats in images conveying contents of luggage items.
Typically, security screening systems in airports make use of devices generating penetrating radiation, such as x-ray devices, to scan individual pieces of luggage to generate an image conveying the contents of the luggage. The image is displayed on a screen and is examined by a human operator whose task it is to detect and possibly identify, on the basis of the image, potentially threatening objects located in the luggage.
A deficiency with conventional security screening systems is that the job of luggage screening can become repetitious, leading to lapses in attention during which potentially dangerous items may be inadvertently allowed on board an aircraft for example.
In order to alleviate at least in part the above described deficiency, luggage screening systems are sometimes equipped with threat image projection (TIP) systems adapted for displaying an image of a piece of luggage with a simulated threat appearing thereon.
These threat image projection (TIP) systems allow merging two images: one image of a threat (e.g.: handgun, gun part, knife, improvised explosive device, etc.) based on stored images with one “live” image of a piece of luggage passing on the belt of the screening systems (such as an x-ray machine). The combined image is then displayed on the usual security screening monitor to the luggage screener who is then expected to process the luggage in accordance with the usual procedure when an actual threat is detected in the luggage. The functionality of such threat image projection systems is used during normal operation for benchmarking purposes, to keep luggage screeners alert, for maintaining the proficiency of experienced users and for training new users. An example of such a system is described in U.S. Pat. No. 6,899,540 issued to Neiderman, et al. on May 31, 2005 and entitled “Threat Image Projection System”. The contents of the above referenced document are incorporated herein by reference. In Neiderman et al., a computer system which causes a luggage screening monitor to show computer-generated (i.e. simulated) contraband items in a piece of luggage is described. This is done by either overlaying a computer-generated image of a contraband or other item onto the image of the luggage being screened, or by substituting the image of an entire piece of luggage which contains contraband for the image of the luggage being screened. The system also checks whether the contraband item (threat) fits into the current luggage being screened in order to ensure that a large threat is not projected into a small bag (e.g., a purse), thus cueing the screener that the threat is simulated. If the system determines that the selected contraband item (threat) does not fit in the luggage, the simulated contraband item is not displayed.
A deficiency in systems of the type described above is that the images shown to the user containing the computer-generated (i.e. simulated) contraband item (e.g. threat) do not convincingly convey that what the user is looking at is a real contraband item in the piece of luggage being screened. Frequently, the manner in which the images are merged together leads screeners to conclude that the threat displayed in the image of the piece of luggage was computer-generated as the result of the threat image projection (TIP) image-merging feature rather than a real threat.
Consequently, there is a need in the industry for providing a method and system for performing threat image projection (TIP) that alleviate at least in part the deficiencies of the prior art.
In accordance with a broad aspect, the present application seeks to provide a method for testing luggage screening equipment operators. The method comprises receiving a sequence of images of contents of luggage items derived from a device that scans the luggage items with penetrating radiation, the device being characterized by introducing a certain distortion into the images of contents of luggage items. The method also comprises causing a display device to display images derived from the sequence of images of contents of luggage items. The method also comprises occasionally causing the display device to show a simulated threat in a luggage item by displaying a combined image. The combined image is derived based at least in part on an image in the sequence of images and a distorted threat image, the distorted threat image having been derived by applying a distortion insertion process to a reference threat image to introduce a distortion in the reference threat image. The distortion insertion process tends to approximate the certain distortion introduced in the images of contents of luggage items by the device that scans the luggage items with penetrating radiation.
For the purpose of this specification, the expression “luggage item” is used to broadly describe luggage, suitcases, handbags, backpacks, briefcases, boxes, parcels or any other similar type of item suitable for containing objects therein.
Advantageously, the above-described method allows taking into account distortions introduced by the device that scans the luggage items with penetrating radiation when displaying a combined image conveying a representation of a luggage item with a simulated threat contained therein.
In accordance with a specific example of implementation, the method comprises occasionally causing the display device to show a same simulated threat positioned at different perceived heights in luggage items. This is effected by displaying combined images derived based at least in part on images in the sequence of images and a group of distorted threat images. The distorted threat images in the group are associated to respective heights and are derived by applying distinct distortion insertion processes to a reference threat image to introduce distortions in a reference threat image, wherein the distinct distortion insertion processes are each associated to respective heights.
In accordance with another broad aspect, the invention provides an apparatus for testing luggage screening equipment operators in accordance with the above-described method.
In accordance with another broad aspect, the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing an apparatus for testing luggage screening equipment operators in accordance with the above described method.
In accordance with another broad aspect, the present application seeks to provide a method for testing luggage screening equipment operators. The method comprises receiving a sequence of images of contents of luggage items derived from a device that scans the luggage items with penetrating radiation, the device being characterized by introducing a certain distortion into the images of contents of luggage items. The method also comprises causing a display device to display images derived from the sequence of images of contents of luggage items. The method also comprises occasionally causing the display device to show a simulated threat in a luggage item by:
Advantageously, by applying a distortion insertion process to a reference threat image associated to a given threat and then using this distorted threat image in the generation of a combined image for showing a simulation of that given threat, a more realistic representation of a luggage item that would have truly contained that given threat can be obtained.
In accordance with a specific example of implementation, the method comprises processing the image of contents of the luggage item to derive spatial information associated to the luggage item and conditioning the distortion insertion process at least in part based on the spatial information.
In accordance with a specific example of implementation, the method comprises providing a set of original threat images associated to respective potential threats and selecting at least one image from the set of original threat images as the reference threat image. The step of selecting may be effected using any suitable rule. In a specific example of implementation, selecting at least one image from the plurality of original threat images as the reference threat image is conditioned at least in part based on the spatial information associated to the luggage item. In a non-limiting example, wherein the spatial information associated to the luggage item includes size information, the method comprises selecting at least one image from the plurality of threat images as the original threat image based at least in part on the size information associated to the luggage item.
In accordance with a specific example of implementation, the method comprises providing an original threat image associated to a threat and assigning positioning information to the original threat image to derive the reference threat image. The positioning information assigned to the original threat image to derive the reference threat image is conditioned at least in part based on the spatial information associated to the luggage item.
In accordance with a specific example of implementation, the reference threat image includes intensity data for a set of coordinates, and the distorted threat image is defined by modified intensity data for a set of new coordinates. Applying a distortion insertion process comprises applying an image transformation to the intensity data for the set of coordinates to derive the modified intensity data for the new coordinates. The image transformation involves processing of a data structure representative of an inferred spatial transformation applied by the device that scans the luggage item with penetrating radiation. The inferred spatial transformation may be two-dimensional or three-dimensional. In a non-limiting example of implementation, the data structure is characterized by a set of parameters derived from registration of observed coordinates with respect to a set of reference coordinates.
In accordance with another specific example of implementation, the method comprises occasionally causing the display device to show a same simulated threat positioned at different perceived heights in luggage items. The method comprises applying distortion insertion processes to a reference threat image to derive a plurality of distorted threat images, the distortion insertion processes being associated to respective heights such that the distorted threat images in the plurality of distorted threat images are associated to respective perceived heights. The method comprises deriving combined images conveying the same simulated threat positioned at different perceived heights in luggage items based at least in part on images in the sequence of images and the plurality of distorted threat images and causing a display device to display at least some of the combined images.
In accordance with another broad aspect, the invention provides an apparatus for testing luggage screening equipment operators in accordance with the above-described method.
In accordance with another broad aspect, the invention provides a computer readable storage medium including a program element suitable for execution by a CPU, the program element implementing an apparatus for testing luggage screening equipment operators in accordance with the above described method.
In accordance with another aspect, the invention provides a system for screening luggage items. The system comprises an image generation device, a display device and an apparatus including functionality for testing luggage screening equipment operators in communication with the image generation device and the display device. The image generation device is for scanning luggage items with penetrating radiation to generate a sequence of images of contents of the luggage items. The image generation device is characterized by introducing a certain distortion into the images of contents of luggage items. The apparatus includes functionality for testing luggage screening equipment operators and comprises an input, and output and a processing unit. The input is for receiving the sequence of images of contents of luggage items. The output is for releasing an output signal suitable for causing the display device to display images derived from the sequence of images of contents of luggage items. The processing unit is operative for occasionally causing the output signal released at the output to convey a simulated threat in a luggage item by conveying a combined image. The combined image is derived based at least in part on an image in the sequence of images and a distorted threat image, wherein the distorted threat image was derived by applying a distortion insertion process to a reference threat image to introduce a distortion in the reference threat image. The distortion insertion process applied is such that it tends to approximate the certain distortion introduced in the images of contents of luggage items by the image generation device.
In accordance with another broad aspect, the invention provides a client-server system for implementing a process for testing luggage screening equipment operators. The client-server system comprising a client system and a server system operative to exchange messages there between over a data network. The server system stores a program element for execution by a CPU. The program element comprises a first program element component executed on the server system for receiving a sequence of images of contents of luggage items derived from a device that scans the luggage items with penetrating radiation. The device that scans the luggage items with penetrating radiation is characterized by introducing a certain distortion into the images of contents of luggage items. The program element also comprises a second program element component executed on the server system for generating messages for transmission to the client system for causing a display device in communication with the client system to display images derived from the sequence of images of contents of luggage items. The second program element component is operative for occasionally generating messages for causing the display device in communication with the client system to show a simulated threat in a luggage item by conveying a combined image. The combined image is derived based at least in part on an image in the sequence of images and a distorted threat image. The distorted threat image was derived by applying a distortion insertion process to a reference threat image to introduce a distortion in the reference threat image, wherein the distortion insertion process approximates the certain distortion introduced in the images of contents of luggage items by the device that scans the luggage items with penetrating radiation.
In accordance with another broad aspect, the invention provides an apparatus for testing luggage screening equipment operators. The apparatus comprises means for receiving a sequence of images of contents of luggage items derived from a device that scans the luggage items with penetrating radiation. The apparatus also comprises means for causing a display device to display images derived from the sequence of images of contents of luggage items and means for occasionally causing the display device to show a simulated threat in a luggage item by conveying a combined image. The combined image is derived based at least in part on an image in the sequence of images and a distorted threat image, the distorted threat image having been derived by applying a distortion insertion process to a reference threat image to introduce a distortion in the reference threat image. The distortion insertion process approximates the certain distortion introduced in the images of contents of luggage items by the device that scans the luggage items with penetrating radiation.
Other aspects and features of the present invention will become apparent to those ordinarily skilled in the art upon review of the following description of specific embodiments of the invention in conjunction with the accompanying Figures.
A detailed description of embodiments of the present invention is provided herein below, by way of example only, with reference to the accompanying drawings, in which:
a shows a process implemented by the apparatus shows in
b shows a process for deriving a reference threat image in accordance with a specific example of implementation of the present invention;
In the drawings, the embodiments of the invention are illustrated by way of examples. It is to be expressly understood that the description and drawings are only for the purpose of illustration and are an aid for understanding. They are not intended to be a definition of the limits of the invention.
Shown in
The image generation device 102 scans luggage items with penetrating radiation to generate a sequence of images of contents of the luggage items, the image generation device being characterized by introducing a certain distortion into the images of contents of luggage items. Specific examples of image generation devices that can be used include, without being limited to, x-ray, gamma ray, computed tomography (CT scans) and millimeter wave devices. Such devices are known in the art and as such will not be described further here. The images generated by the image generation device 102 may be two-dimensional (2D) or three-dimensional (3D) without detracting from the spirit of the invention. In a non-limiting example of implementation, the image generation device 102 is a conventional x-ray machine and the images in the sequence of images of the contents of the luggage items 104 are x-ray images of the luggage items 104 generated by the x-ray machine. In another non-limiting example of implementation, the image generation device 102 is a multi-view x-ray machine. The sequence of images of contents of luggage items 104 generated by the image generation device 102 may be in any suitable format such as, without limitation, VGA, SVGA, XGA, JPEG, GIF, TIFF and bitmap amongst others. Alternatively, the images may be in a proprietary image format. It will be appreciate that the actual format is not critical to the invention. Preferably, the sequence of images of contents of luggage items 104 is in a format that can be displayed on a display screen.
The image generation device 102 introduces a certain distortion into the images it generates, herein referred to as the distortion signature of the image generation device 102. More specifically, different objects in the luggage items 104 may be distorted to different degrees when captured in an image by the image generation device 102. The amplitude and nature of the distortion introduced by the image generation device 102 vary in space, both in the XY-plane (location of the luggage item 104 on the conveyor belt 120) and in z-height (position of an object in the luggage item 104 with regards to the z-axis which sets the distance between the object in question and the image generation device 102). As such, a given image generation device 102 will be characterized by introducing a certain distortion into the images of contents of luggage items it generates. In examples of implementation where the image generation device 102 is described as an x-ray machine the distortion introduced in the images is caused by the x-ray source's and detectors arrays' locations and the angle between them.
The apparatus 106 receives the sequence of images of contents of luggage items generated by the image generation device 102 and releases output signals for causing a display device, such as display device 108, to display images derived from the sequence of images of contents of luggage items. The apparatus 106 also includes functionality for testing luggage screening equipment operators by occasionally causing the output signal released to convey a simulated threat in a luggage item. The simulated threat in a luggage item is conveyed by a combined image derived based at least in part on an image in the sequence of images generated by the image generation device 102 and on a distorted threat image. The distorted threat image is derived by applying to a reference threat image a distortion insertion process that tends to approximate the certain distortion introduced by the image generation device 102. The manner in which the distorted image and the combined image can be generated will be described later on in the specification.
The display device 108 displays information to a luggage screening equipment operator in visual format. The display device 108 may be embodied as any suitable device including, without being limited to, a display screen of a computer terminal and a display screen of a portable display device. The display device 108 receives from the apparatus 106 signals suitable for causing the display device 108 to display images derived from the sequence of images of contents of luggage items generated by the image generation device 102. As will be described in detail later on in the specification, certain signals received from the apparatus 106 convey combined images for showing a simulated threat in a given luggage item.
A high level representation of a process for testing luggage screening equipment operators implemented by the system 100 is depicted in
At step 200, an image of contents of a luggage item 104 is obtained by the image generation device 102 (shown in
At step 201, a decision is made by the apparatus 106 as to whether a simulated threat should be added to the image received at step 200. The decision as to whether a threat should be added may be based on any suitable decision rule. For example, the decision rules may be based on some desired frequency of simulated presence of a threat, may be based on a suitable random function, may be periodic, and/or may be conditioned based on external factors. External factors may include for example, an identity associated to the luggage screening equipment operator making use of the system and a security alert level amongst others.
If step 201 is answered in the negative in that no simulated threat should be added to the image received at step 200, the system proceeds to step 202. At step 202, the apparatus 106 (shown in
If step 201 is answered in the affirmative in that a simulated threat should be added to the image received at step 200, the system proceeds to step 204. At step 204 the apparatus 106 releases an output signal for causing the display device 108 (both shown in
Advantageously, the system 100 allows a more realistic simulation of a threat in a luggage item to be presented to a luggage screening equipment operator by attempting to compensate for the distortion introduced by the image generation device 102 during the generation of the combined image.
An embodiment of apparatus 106 will now be described in greater detail with reference to
Apparatus 106
As depicted, the apparatus 106 includes an input 302, an output 304 and a processing unit 330 in communication with the input 302 and the output 304. The first input 302 is for receiving images of contents of luggage items from the image generation device 102 (shown in
As shown, the processing unit 106 comprises a plurality of functional elements including an image display control module 306 and a distorted threat image generation module 308.
The distorted threat image generation module 308 is adapted for releasing to the image control module 306 a distorted threat image 326. In the embodiment shown in
The image display control module 306 is adapted for causing the output signal released at output 304 to convey either one of the image of contents of a luggage item received at input 302 or a combined image conveying a simulated threat in the luggage item. In the latter case, the control module 306 derives the combined image at least in part based on the image received at input 302 and a distorted threat image received from the distorted threat image generation module 308. The image display control module 306 is responsive to receipt of a threat image selection failure signal for causing the output signal released at output 304 to convey the image of contents of a luggage item received at input 302 without the addition of a simulated threat.
In a specific example of implementation, the display control module 306 is adapted for selectively issuing a control signal 342 to the distorted threat image generation module 308 for causing the latter to provide a distorted threat image 326. In such an implementation, the distorted threat image generation module 308 is responsive to the control signal 342 from the image display control module 306 for releasing a distorted threat image 326 to the image display control module 306. Alternatively, the distorted threat image generation module 308 is adapted for automatically generating a distorted threat image 326 upon receipt of a new image of contents of a luggage item received at input 302. In such an alternative, the control signal 342 may be omitted.
Any suitable method for generating a combined image based on the image received at input 302 and the distorted threat image 326 may be used such that the resulting combined image conveying the presence of a simulated threat in the luggage item. In a non-limiting example, the combined image is generated by overlaying the distorted threat image 326 onto the image received at input 302.
In an alternative example of implementation, where the image received at input 302 and the distorted threat image are x-ray images, the display control module 306 is adapted to derive the combined image by performing a combination of the attenuation information conveyed in the image received at input 302 and the attenuation information conveyed in the distorted threat image 326. In this specific example, the resulting combined image is derived based on the true energy levels in the image received at input 302 and in the distorted threat image (high-energy level E1 and low-energy level E2). Advantageously, this alternative method allows generating a combined image that takes into account compound material effects. In other words, the combined image when displayed on display device 108 (shown in
It will be appreciated, in light of the above description, that other suitable methods for deriving the combined image at least on part based in the image received at input 302 and the distorted threat image 326 may be used without detracting from the spirit of the invention.
In the specific example of implementation depicted in
Database of Threats 340
The database of threats 340 includes a memory unit for storing a set of original threat images associated to respective potential threats whose presence in luggage items the system 100 (shown in
It will be appreciated certain embodiments of the database of threats 340 may include a single original threat image, which would allow the system 100 (shown in
In a specific example of implementation, the images in the set of original threat images in the database 340 may be derived by an image generation device using a similar type of penetrating radiation as the image generation device 102 depicted in
It will be appreciated that the image generation device used for the purpose of generating the set of original threat images in the database 340 need not be the same device as the image generation device 102 used in the system 100 and may even be a device manufactured by a different entity. For example, the image generation device used for the purpose of generating the set of original threat images in the database 340 will most likely be characterized by introducing a certain distortion into the original threat images it generated. For the purpose of simplicity, let us refer to this certain distortion as a first distortion signature. The image generation device 102 used in the system 100 is also characterized by introducing a certain distortion into the images of contents of luggage items it generates. For the purpose of simplicity, let us refer to this other certain distortion as a second distortion signature. The first distortion signature and the second distortion signature may be substantially the same or may be different.
In a specific example of implementation, the original threat images in the database of threats 340 have been pre-processed to remove therefrom at least in part the distortion introduced by the image generation device used for the purpose of generating the set of original threat images in the database 340. As such, the original threat images in the database 340 can be considered to be “normalized” images that have been rendered substantially independent from the distortion signature characterizing the image generation device that generated them. Any suitable method for correction distortion in a scanned image may be used. An example of such a method suitable for correcting distortion introduced by an image generation device is described in co-pending U.S. patent application Ser. No. 11/431,627 entitled “APPARATUS, METHOD AND SYSTEM FOR SCREENING RECEPTACLES AND PERSONS, HAVING IMAGE DISTORTION CORRECTION FUNCTIONALITY”, filed on May 11, 2006 by L. Perron et al. and published under publication no. 20070041612A1 on Feb. 22, 2007. The contents of the above referenced document are incorporated herein by reference. Advantageously, by storing “normalized” images in database 340, the latter may be used in connection with systems including image generation devices characterized by distinct distortion signatures without requiring the systems to be adapted to the distortion signature of the image generation device that generated the database 340. In addition, by making the set of original threat images in the database 340 substantially independent from the distortion signature of the image generation device that generated them, the update of the database 340 may be made easier. For instance, new threat images to be added to the database 340 need not be generated by an image generation device characterized by the same the distortion signature as the image generation device that generated the threat images already in the database.
For the purpose of the present description, we will describe an implementation where the threat images in the database of threats 340 are “normalized” image, i.e. substantially rendered independent from the distortion signature of the image generation device that generated the image. It will become apparent to the person skilled in the art in light of the present description how the distortion transformation database 314 can be modified in implementations where the images in the database 240 are not “normalized” images.
In addition, although the database 340 has been shown in
Distortion Transformation Database 314
One recalls that the image generation device 102 (shown in
The distortion transformation database 314 stores information conveying characteristics of the distortion introduced by the image generation device 102 into the images of contents of luggage items. For the purpose of this description, we will refer to the distortion introduced by the image generation device 102 into the images of contents of luggage items as the distortion signature of the image generation device 102. Typically, different image generation device 102 will have different distortion signatures. In other words, different image generation devices will typically introduce different amounts and types of distortions into the images they generate. As such, the distortion transformation database 314 stores information associated to image generation devices having a certain distortion signature, such as for example a certain specific manufacturer model (or make) of image generation device. Where the apparatus 106 is adapted to be used with image generation devices having different distortion signatures, respective distortion transformation databases are provided for each distortion signature.
In a specific example of implementation, the distortion transformation database 314 stores information characterizing a distortion insertion process that tends to approximate the certain distortion introduced in the images of contents of luggage items by the image generation device 102. When this distortion insertion process is applied to an image of an object, the distortion insertion process mimics the effect of the image generation device 102 by introducing therein a distortion based on the distortion signature of the image generation device 102.
In a specific practical example of implementation, the distortion transformation database 314 includes a memory unit storing a transformation data structure denoted as T*, where T* is an inferred spatial transformation. In a specific implementation, T* includes a plurality of entries, denoted TH*, wherein each TH* is an inferred spatial transformation associated to a respective height (z-height) H. It will therefore be appreciated that, where T* includes TH* for different values of H (i.e. different heights), the inferred spatial transformation T* is considered a three-dimensional spatial transformation comprised of multiple inferred two-dimensional spatial transformations TH*. In cases where an inferred spatial transformation is provided for only one height, T* is a two-dimensional spatial transformation.
An example of the manner in which the transformation data structure denoted T* can be derived will now be described.
One could model the distortion introduced by the image generation device 102 as a spatial transformation T on a “true” (undistorted) image to arrive at a corresponding image generated by the image generation device 102. Thus, T represents a spatial transformation that models the distortion affecting a certain object having a given shape and location in a “true” (undistorted) image, resulting in that certain object's “distorted” shape and location in an image of that object that would be generated by the image generation device 102. Thus, to derive a simulation of an image that would have been generated by the image generation device 102 based in a “true” (undistorted) image, it is reasonable to want to make the distortion insertion process to be applied to that “true” (undistorted) image to resemble T as closely as possible.
It will be appreciated that the amplitude and nature of the distortion introduced by the image generation device 102 vary in space, both in the XY-plane (location of the luggage item 104 on the conveyor belt 120) and in z-height (position of an object in the luggage item 104 with regards to the z-axis which sets the distance between the object in question and the image generation device 102). As such it will be appreciated that characteristics of the spatial transformation T will vary not only according the position of the object in the XY-plane but will also vary according to different heights (z-heights).
Thus, one can denote the spatial transformation for a given candidate height H by TH, which therefore models the distortion affecting objects located at the candidate height H when scanned by the image generation device 102.
Now, although the exact TH is not known, it may be inferred. The inferred version of TH is denoted TH* and is hereinafter referred to as an “inferred spatial transformation” for a given candidate height H. Basically, TH* can be defined as a data structure that represents an estimate of TH. Although the number of possible heights that an object may occupy is a continuous variable, it may be possible to granularize this number to a limited set of “candidate heights” (e.g., such as 5-10) without introducing a noticeable error. Moreover, since in a Threat Image Projection (TIP) context it is possible to control the selection of the height at which a threat image will be inserted, that selection may be made to correspond to a “candidate height” for which a spatial transformation TH* has been determined. Of course, the number of candidate heights in a given embodiment may be as low as one, while the upper bound on the number of candidate heights is not particularly limited.
The data structure that represents the inferred spatial transformation TH* for a given candidate height H may be characterized by a set of parameters. The set of parameters may be derived from registration of observed coordinates with respect to a set of reference coordinates. More specifically, the set of parameters can be derived from the coordinates of a set of “control points” in both an image generated by the image generation device 102 and an “true” image for that candidate height. A “control point” corresponds to a picture element that occurs at a known location in the “true” image (defining the reference coordinates) for a given candidate height H, and whose “distorted” position can be located in the image generated by the image generation device 102 (defining the observed coordinates).
In one specific non-limiting embodiment, to obtain control points specific to a given image generation device 102, and with reference to
To obtain the inferred spatial transformation TH* for a given candidate height H, one may utilize a “transformation model”. The transformation model that is used may fall into one or more of the following non-limiting categories, depending on the type of distortion that is sought to be corrected:
The use of the function cp2tform in the Image Processing Toolbox of Matlab® (available from Mathworks Inc.) is particularly suitable for the computation of inferred spatial transformations such as TH* based on coordinates for a set of control points. Other techniques will now be apparent to persons skilled in the art to which the present invention pertains. The above process can be repeated several times, for different candidate heights, thus obtaining TH* for various candidate heights.
The TH* for various candidate heights derived in the manner described above are combined to form transformation data structure T* which is then stored on a memory unit as part of distortion transformation database 314.
To better illustrate the manner in which transformation data structure T* can be used to derive a simulation of an image that would have been generated by the image generation device 102 based in a “true” (undistorted) image, an example will be described with reference to
Block 602 is a graphical representation of an original threat image. The original threat image may be derived for example from a database of threat images.
Blocks 604a and 604b are graphical representations of the original threat image repositioned in a three-dimensional space (X, Y, Z-height) at locations at which a threat image is to be inserted in the combined images. The repositioned original threat images 604a and 604b are the reference images to which a distortion insertion process will be applied. Block 604a depicts a first reference image positioned at Z-height H890 while block 604b depicts a second reference image positioned at Z-height H470.
Based on the Z-height information, H890 and H470, blocks 606a and 606b select from the distortion transformation database 314 the inferred spatial transformations TH* corresponding to heights H890 and H470. Assuming that TH* for H890 and H470 can be retrieved from distortion transformation database 314, one applies the image transformation TH* to the reference threat images 604a and 604b in order to obtain the distorted threat images 606a and 606b. Distorted threat images 606a is associated to z-height H890 and distorted threat images 606b is associated to z-height H470. Hence an image of a simulated threat can be positioned at different heights in luggage items. Different distortion insertion processes associated to respective heights are applied to a reference threat image to derive a plurality of distorted threat images.
The use of the function imtransform in the Image Processing Toolbox of Matlab® (available from Mathworks Inc.) is particularly suitable for the computation of an output image (such as the distorted images 606a and 606b) based on an input image (such as the reference threat images 604a and 604b) and an inferred spatial transformation such as TH*. Other techniques will now be apparent to persons skilled in the art to which the present invention pertains.
As was the case for database 340, although the database 314 has been shown in
Spatial Coordinate Estimator 310
The spatial coordinate estimator 310 is adapted for processing the image of contents of a luggage item received from input 302 to derive spatial information associated to the luggage item. The spatial information generated provides information related to the boundaries of the luggage item. Such information related to the boundaries of the luggage item may include, without being limited to, position information and size information associated to the luggage item. In a specific example of implementation, the position information includes boundaries of a luggage item in the XY-plane (location of the luggage item 104 on the conveyor belt 120) and in z-height (height of the boundaries of the luggage item 104 with regards to the z-axis which sets the distance between the boundaries of the luggage item 104 and the image generation device 102). Any suitable image processing method for deriving the boundaries of the luggage items in an image may be used. It will be readily appreciated that where the image of contents of a luggage item received at input 302 includes a representation of multiple luggage items, spatial information associated to each of the respective luggage items in the image may be generated by the spatial coordinate estimator 310. For the purpose of simplicity, we will describe the case where the image of contents of a luggage item received at input 302 include a representation of contents of a single luggage item.
The spatial coordinate estimator 310 releases the spatial information conveying boundary information associated to the luggage item in the image received from input 302.
The Threat Selection Unit 312
The threat selection unit 312 selects one or more original threat images from the set of original threat images in the database of threats 340 and releases the selected one or more original threat images as signal 328.
The threat selection unit 312 may make use of any suitable set of threat image selection rules to effect the selection of a given threat image from the database of threats 340. Such threat image selection rules may for example, cycle through the original threat images in the database of threats 340 so that the various original threat image are presented to the user in some pre-determined order. Alternatively, the threat image selection rules may provide that original threat images in the database of threats 340 are selected according to respective frequencies such that a given original threat image is selected more (or less) frequently than another original threat image. Alternatively still, the threat image selection rules may provide for a pseudo random selection of an original threat image from the set of original threat images in the database of threats 340. Advantageously, by providing for a pseudo random selection, the selected pattern of threat images varies over time and should not easily be discernable by a luggage screening equipment operator using the system.
Preferably, the threat selection unit 312 conditions the selection of the original threat image at least in part based on the spatial information associated to the luggage item received from the spatial coordinate estimator 310. As described previously, the spatial information associated to the luggage item received from the spatial coordinate estimator 310 provides information related to the boundaries of the luggage item depicted in the image received at input 302.
In a specific example of implementation, the threat selection unit 312 effects an initial selection of an original threat image from the database of threats 340. The threat object selection unit 312 then verifies whether the selected original threat image can be made to fit within the luggage item depicted in the image received at input 302 based on the spatial information received from the spatial coordinate estimator 310. Any suitable image processing method for verifying whether an object fits within a defined boundary may be used to effect this verification. Such methods are known in the art of image processing and as such will not be described further here.
If the threat object selection unit 312 determines that the selected original threat image can be made to fit within the luggage item, the threat object selection unit 312 releases the selected original threat image 328 to the threat position selection unit 316.
If the threat object selection unit 312 determines that the selected original threat image cannot be made to fit within the luggage item, the threat object selection unit 312 selects another original threat image from the database 340 and repeats the verification of whether the newly selected original threat image can be made to fit within the luggage item. The threat object selection unit 312 repeats the process of selecting an original threat image from the database 340 and verifying whether the selected object can be made to fit within the luggage item until:
The termination condition may be reached for any number of suitable reasons. As an example, a termination condition may be reached when a maximum number of selections of original threat images has been reached and has failed to result in a selected original threat image that will fit into the luggage item. The maximum number of selections of original threat images should be selected such as not to delay the display of an image conveying contents of luggage items on the display device 108 by an unreasonable amount of time. If a termination condition is reached, the threat selection unit 312 issues a threat image selection failure signal conveying that the selection process has failed to result in the selection of an original threat image. The threat image selection failure signal is conveyed to the image display control module 306. In response to receipt of a threat image selection failure signal, the image display control module 306 causes the output signal released at output 304 to convey the image of contents of a luggage item received at input 302 without the addition of a simulated threat.
Optionally, the threat selection unit 312 uses size information conveyed by the spatial information associated to the luggage item and received from the spatial coordinate estimator to effect a pre-selection of objects from the database of threats 340. In a first example, prior to initiating the process described above, the threat selection unit 312 uses size information conveyed by the spatial information associated to the luggage to effect a pre-selection of objects from the database of threats 340. In this manner, threat objects in the database of threats 340 that have a size (such as a length, width, height and/or volume) that is larger than that of the luggage item, may be eliminated by the pre-selection step. The remaining threat objects in the database of threats 340 can then be processed to select one or more original threat images on the basis of selection rules of the type described above. In a second example, prior to initiating the selection process described above, the threat selection unit 312 uses size information conveyed by the spatial information associated to the luggage to determine whether the luggage item has a size that is at least as large as a pre-determined minimum size. If the luggage item has a size that is smaller that the pre-determined minimum size, the threat selection unit issues a threat image selection failure signal conveying that the selection process has failed to result in the selection of an original threat image. If the threat selection unit 312 determines that the luggage item has a size that is at least as large as the pre-determined minimum size, the threat selection unit 312 proceeds to select one or more original threat images on the basis of selection rules of the type described above.
It will be readily apparent to the person skilled in the art that the above described embodiment have been described for the purpose of illustration and that other suitable manners of effecting a selection of a threat image from a database of threats may be envisaged without detracting from the spirit of the invention.
The Threat Position Selection Unit 316
The threat position selection unit 316 is adapted to derive positioning information to be assigned to the selected original threat image 328 received from the threat selection unit 316. This positioning information allows a same threat image stored in the database of threats 340 to be positioned in a plurality of different locations in the images conveyed by the output signal released at out put 304. The derived position information is released to the threat positioning unit 320 and to the distortion function generator 318.
In a specific example of implementation, the position information includes positioning data in the XY-plane and in z-height.
The threat position selection unit 316 may make use of any suitable set of threat position selection rules to effect the selection of a given position for the selected threat image 328 received from the threat selection unit 312.
Such threat position selection rules may for example, cycle through a set of pre-determined positions so that the threat images are presented to the user in some pre-determined set of positions. Alternatively, the threat position selection rules may provide that positions are selected according to respective frequencies such that threat images are placed in certain positions more (or less) frequently than in other positions. Alternatively still, the threat position selection rules may provide for a pseudo random selection of position. Advantageously, by providing for a pseudo random selection of the original threat image, the selected pattern of positions for the threat images varies over time and should not easily be discernable by a luggage screening equipment operator using the system.
Most preferably, the threat position selection rules are such that they make use of the spatial information conveying boundary information associated to the luggage item in the image received from input 302 and released by the spatial coordinate estimator 310. Any suitable image processing method for positioning an object within a defined boundary may be used to effect the positioning selection. Such methods are known in the art of image processing and as such will not be described further here. By providing spatial information conveying boundary information associated to the luggage item in the XY-plane and in z-height and by generating positioning information for the threat image in the XY-plane and in z-height, the selected threat image can be positioned such as convey a simulated threat located within the luggage item. This is particularly advantageous where the image of contents of a luggage item received at input 302 and the threat image selected from the database 340 are three-dimensional (3D) images.
The Threat Positioning Unit 320
The threat positioning unit 320 receives the positioning information from the threat position selection unit 316 and assigns the positioning information to the original threat image to derive the reference threat image 324. The reference threat image 324 is released to the distortion processor 322.
The assigning of the positioning information to the original threat image includes modifying the original threat image according to the positioning information so that the image of the threat appears at a different location in the reference image. Said otherwise, the reference threat image 324 is a repositioned version of the original threat image 328. Any suitable image processing method for positioning an image based on desired positioning information may be used. Such methods are known in the art of image processing and as such will not be described further here.
In a non-limiting specific example of implementation, the assigning of the positioning information to the original threat image includes modifying the original threat image according to the XY-plane positioning information.
In another alternative embodiment, not shown in the figures, the database of threats 340 stores sets of original threat images, where each original threat image in a given set is associated to the same threat in a respective position in the XY-plane. In such an alternative embodiment, the threat positioning unit 320 may be omitted and threat position selection unit 316 may be limited to selecting a z-height position. In such a case, the threat selection unit 312 is modified to release a reference threat image 324 to the distortion processor 322 and the threat position selection unit 316 may be limited to selecting a z-height position and to provide the latter to the distortion function generator 318.
The Distortion Function Generator 318
The distortion function generator 318 is adapted for accessing the distortion transformation database 314 to select therefrom a distortion insertion process to be applied to the reference threat image 324. The selected distortion insertion process is then released and provided to the distortion processor 322.
As described above, the amplitude and nature of the distortion introduced by the image generation device 102 vary in space, both in the XY-plane and in z-height. The distortion function generator 318 receives the position information derived by the threat position selection unit 316 and conditions the distortion insertion process based at least in part on the positioning information.
In the specific example of implementation described, the distortion transformation database 314 includes a data structures storing a transformation data structure denoted as T*, where T* includes a plurality of entries, denoted TH*, wherein each TH* is an inferred spatial transformation associated to a respective height (z-height) H. The distortion function generator 318 is adapted for selecting from the distortion transformation database 314 a certain inferred spatial transformation TH′* corresponding to z-height H′. Z-height H′ is the height for which a spatial transformation is present in the database 314 that is in proximity to the height conveyed by the positioning information derived by the threat position selection unit 316.
The Distortion Processor 322
The distortion processor 322 receives the reference threat image 324 from the threat positioning unit 320 and the selected distortion insertion process from the distortion function generator 318. The distortion processor 322 processes the reference threat image 324 by applying the selected distortion insertion process to introduce in reference threat image 324 a distortion tending to approximate the certain distortion introduced in the images of contents of luggage items by the image generation device 102.
In a specific example of implementation, the certain spatial transformation TH′* received from the distortion function generator 318 is applied to the reference threat image 324 received from the threat positioning unit 320 to derive a distorted threat image 326. The distorted threat image 326 is then released and provided to the image display control module 306.
In a specific example of implementation, the reference threat image 324 includes intensity data for a set of coordinates. Applying the certain spatial transformation TH′* to the intensity data for the set of coordinates in the reference threat image 324 results in modified intensity data for a set of new coordinates. The modified intensity data is released as part of the distorted threat image 326.
Description of Typical Interaction
A specific example of a process implemented by the apparatus 106 shown in
At step 400, an image of contents of a luggage item is obtained by the image generation device 104 (shown in
At step 402, the image display control module 306 of apparatus 106 makes a decision as to whether a simulated threat should be added to the image received at step 400. The decision as to whether a threat should be added may be based on any suitable decision rule.
If step 402 is answered in the negative in that no simulated threat should be added to the image received at step 400, the image display control module 306 proceeds to step 412. At step 412, the image display control module 306 releases an output signal for causing the display device 108 (shown in
If step 402 is answered in the affirmative in that a simulated threat should be added to the image received at step 400, the image display control module 306 issues a control signal 342 (shown in
At step 404, the distorted threat image generation module 308 derives a reference threat image conveying a threat whose presence it to be simulated in the image received at step 400. If step 404 fails and a reference threat image cannot be derived, the distorted threat image generation module 308 issues a threat image selection failure signal to the image display control module 306 for causing the latter to initiate step 412. If a reference threat image is successfully derived, the distorted threat image generation module 308 proceeds to step 406.
In a specific example of implementation, step 404 can be subdivided into steps 450452 and 454 depicted in
More specifically, at step 450, an original threat image is selected from the database of threats 340 (shown in
At step 452, the position in the image received at step 400 where the threat image selected at step 450 is to be inserted is selected. Completion of step 452 results in positioning information, which is then forwarded to step 454.
At step 454, the positioning information is applied to the threat image selected at step 450 to derive a reference threat image. Completion of step 454 results in a reference threat image that corresponds to a repositioned version of the threat image selected at step 450. The reference threat images is then forwarded to step 406 (
Returning to
At step 408, image display control module 306 derives a combined image based at least in part on the image received at step 400 and the distorted threat image derived at step 406 by the distorted threat image generation module 308.
At step 410, image display control module 306 releases an output signal for causing the display device 108 (shown in
Advantageously, the above described process allows a more realistic simulation of a threat in a luggage item to be presented to a luggage screening equipment operator by attempting to mimic the distortion introduced by the image generation device 102 in the simulated threat image.
Variant—Pre-Computed Distorted Threat Images
It will be appreciated that, although the above described embodiment of the apparatus 106 has been described as providing distorted threat images by applying a distortion insertion process during the operation of the system, distorted threat images for different (X, Y, Z) locations for a same original threat image may be pre-computed and stored on a computer readable medium.
An example of such a variant is depicted in
As depicted, the apparatus 106′ includes an input 514 and an output 516 analogous to input 302 and output 304 described with reference to
As shown, the processing unit 510 comprises a plurality of functional elements including an image display control module 512, analogous to image display control module 306 described with reference to
The distorted threat image generation module 500 is adapted for releasing to the image control module 512 a distorted threat image 518 analogous to distorted threat image 326 described with reference to
In the variant depicted in
The spatial coordinate estimator 520 is analogous to spatial coordinate estimator 310 described with reference to
The database of distorted threat images 502 includes a memory unit for storing a set of distorted threat images associated to potential threats whose presence in luggage items the system 100 (shown in
It will be appreciated certain embodiments of the database of threats 502 may include a single subset of distorted threat images associated to a single potential threat, which would allow the system 100 (shown in
The threat selection unit 504 includes functionality similar to that of threat selection unit 312 except that threat selection unit 504 performs the selection process on the database of distorted threat images 502. The threat selection unit 504 selects one or more distorted threat images from the database of distorted threats 502 and releases the selected one or more distorted threat images as signal 518.
Advantageously, by using pre-computed distorted threat images rather than computing the distorted threat images during the operation of the system 100, a reduction in delay and in computational requirements of for the apparatus 106 can be achieved.
Specific Practical Implementation
Those skilled in the art will appreciate that certain portions of the apparatus 106 (shown in
Alternatively, the above-described apparatus 106 can be implemented on a dedicated hardware platform where electrical components implement the functional blocks described in the specification and depicted in the drawings. Specific implementations may be realized using ICs, ASICs, DSPs, FPGAs or other suitable hardware platform.
It will be appreciated that the screening system 100 (depicted in
The server system 910 includes a program element 916 for execution by a CPU. Program element 916 includes functionality to implement the methods described above, including a method for testing luggage screening equipment operators, and includes the necessary networking functionality to allow the server system 910 to communicate with the client systems 902, 904, 906 and 908 over network 912. In a specific implementation, the client systems 902, 904, 906 and 908 include display units responsive to signals received from the server system 910 for displaying information to a user on the basis of messages received from the server system 1110. Certain ones of the clients systems (not shown) may be embodied as image generation devices and may be adapted for sending signal conveying images of contents of luggage items to the server system 910 through network 912.
In a variant, the server system 910 is adapted for receiving images conveying contents of luggage items from a set of image generation devices, the image generation devices is the set having distinct distortion signatures. In such a case, the server system 910 stores respective distortion transformation databases (of the type described with reference to component 314) for each distinct distortion signature in association with the corresponding image generation device in the set. In a specific implementation, the server system 910 includes a memory unit storing a database of threats (of the type described with reference to component 340) whose presence the system is designed to simulate. In this manner it is possible to use a joint database of threats stored by the server system 910 for providing threat image projection functionality for image generation devices having distinct distortion signatures.
Although the present invention has been described in considerable detail with reference to certain preferred embodiments thereof, variations and refinements are possible without departing from the spirit of the invention. Therefore, the scope of the invention should be limited only by the appended claims and their equivalents.
This application is a continuation-in-part claiming the benefit under 35 USC §120 of U.S. patent application Ser. No. 11/431,627 entitled “APPARATUS, METHOD AND SYSTEM FOR SCREENING RECEPTACLES AND PERSONS, HAVING IMAGE DISTORTION CORRECTION FUNCTIONALITY”, filed on May 11, 2006 by L. Perron et al., and presently pending, the contents of which are incorporated herein by reference.
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