CA2538294A1 - Method and apparatus for computerized image background analysis - Google Patents

Method and apparatus for computerized image background analysis Download PDF

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Publication number
CA2538294A1
CA2538294A1 CA002538294A CA2538294A CA2538294A1 CA 2538294 A1 CA2538294 A1 CA 2538294A1 CA 002538294 A CA002538294 A CA 002538294A CA 2538294 A CA2538294 A CA 2538294A CA 2538294 A1 CA2538294 A1 CA 2538294A1
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Prior art keywords
background
image region
image
boundary
video
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CA002538294A
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French (fr)
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CA2538294C (en
Inventor
Christopher J. Buehler
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Johnson Controls Tyco IP Holdings LLP
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Individual
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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/254—Analysis of motion involving subtraction of images
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G08B13/19604—Image analysis to detect motion of the intruder, e.g. by frame subtraction involving reference image or background adaptation with time to compensate for changing conditions, e.g. reference image update on detection of light level change
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G08B13/19608—Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19639—Details of the system layout
    • G08B13/19641—Multiple cameras having overlapping views on a single scene
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19639—Details of the system layout
    • G08B13/19652—Systems using zones in a single scene defined for different treatment, e.g. outer zone gives pre-alarm, inner zone gives alarm
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19654—Details concerning communication with a camera
    • G08B13/19656—Network used to communicate with a camera, e.g. WAN, LAN, Internet
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/22—Electrical actuation
    • G08B13/24—Electrical actuation by interference with electromagnetic field distribution
    • G08B13/2402—Electronic Article Surveillance [EAS], i.e. systems using tags for detecting removal of a tagged item from a secure area, e.g. tags for detecting shoplifting
    • G08B13/2451—Specific applications combined with EAS
    • G08B13/246—Check out systems combined with EAS, e.g. price information stored on EAS tag
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/222—Studio circuitry; Studio devices; Studio equipment
    • H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
    • H04N5/272—Means for inserting a foreground image in a background image, i.e. inlay, outlay
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

Abstract

A computerized method of video analysis including receiving image data for a plurality of video frames depicting a scene that includes at least one of a plurality of background features. Each video frame includes a plurality of image regions and at least one video frame has an object within at least one of the image region. A plurality of background classifications is provided that correspond to one of the background features in the scene. At least one image region is assigned a background classification based at least in part on the location of the object relative to the image region.

Claims (30)

1. A computerized method of video analysis, the method comprising:
receiving image data for a plurality of video frames depicting a scene that includes at least one of a plurality of background features, wherein (i) each of the video frames comprises a plurality of image regions and (ii) at least one video frame has an object within at least one image region;
providing a plurality of background classifications each corresponding to one of the background features in the scene; and assigning one of the background classifications to at least one of the image regions based at least in part on a location of the object relative to the image regions.
2. The method of claim 1 wherein one of the background classifications is a floor.
3. The method of claim 1 wherein the assigning of a background classification to an image region further comprises comparing a value associated with the image region to a floor threshold.
4. The method of claim 1 wherein one of the background classifications is an obstruction.
5. The method claim 1 wherein the assigning of a background classification to an image region further comprises:
comparing a value associated with the image region to a floor threshold; and comparing a value associated with the image region to an obstruction threshold.
6. The method of claim 1 wherein one of the background classifications is a portal.
7. The method of claim 1 further comprising:
determining for each video frame whether an object has newly appeared in such video frame; and determining the image regions in which the newly appeared objects are present.
8. The method of claim 7 wherein the assigning of a background classification to an image region further comprises counting the number of newly appeared objects that first appeared in the image region.
9. The method of claim 1 further comprising:
determining for each video frame whether an object has newly disappeared in such video frame; and determining the image regions in which the newly disappeared objects were last present in a previous video frame.
10. The method of claim 9 wherein the assigning of a background classification to an image region further comprises counting the number of disappeared objects that disappeared from the image region.
11. The method of claim 1 further comprising determining whether to track the object based at least in part on the background classification assigned to at least one of the image regions of the video frame.
12. The method of claim 1 wherein the object further comprises a boundary, the method further comprising the step of determining at least one boundary region that includes the boundary of the object.
13. The method of claim 1 wherein the object further comprises a boundary, the method further comprising the step of determining at least one boundary region that includes at least one of the top, bottom, and side boundaries of the object.
14. The method of claim 13 further comprising determining whether to track the object based at least in part on the image regions in which the at least one boundary region is included relative to the background classification assigned to at least one of (i) such image regions and (ii) another image region in the video frame.
15. The method of claim 1 further comprising determining whether to track the object based at least in part on the size of the object.
16. The method of claim 1 further comprising determining whether to track the object based at least in part on (i) the size of the object and (ii) the image regions in which the object is present relative to the background classification assigned to at least one of (a) such image regions and (b) another image region.
17. The method of claim 1 further comprising:
selecting one of the video frames that has an object; and determining whether the object appears in one of the other video frames based at least in part on the background classification assigned to one of the image regions.
18. The method of claim 1 further comprising:
selecting one of the video frames that has an object; and determining whether the object appears in one of the other video frames at one of an earlier and later time based on the background classification assigned to one of the image regions.
19. A computerized method of video analysis, the method comprising:
receiving image data for a plurality of video frames depicting a scene, wherein at least one video frame has an object within such frame; and determining a vanishing point for such frame based at least in part on one or more characteristics of the object and the vanishing point of other frames.
20. The method of claim 19 further comprising determining the vertical vanishing point for such frame based at least in part on one or more characteristics of the object and the vertical vanishing point of other frames.
21. The method of claim 20 wherein the determining of the vertical vanishing point is further based at least on one of a major axis of the object and a centroid of the object.
22. The method of claim 19, wherein (i) the object further comprises a boundary and (ii) the boundary further comprises plurality of pixels, the method further comprising selecting at least one the pixels of the boundary based at least in part on the vanishing point of the frame.
23. The method of claim 21 wherein (i) the object further comprises a boundary, the boundary having a bottom, and (ii) the boundary further comprises plurality of pixels, the method further comprising selecting at least one pixel that corresponds to the boundary bottom based at least in part on the vertical vanishing point of the frame.
24. A computerized method for video analysis, the method comprising:

receiving image data for a plurality of video frames depicting a scene that includes at least one of a plurality of background features, wherein (i) each of the video frames comprises a plurality of image regions, and (ii) at least one video frame has an object within at least one image region, the object having a lower boundary;
providing a plurality of background classifications each corresponding to one of the background features in the scene;
determining a vertical vanishing point for the at least one frame in which there is an object based at least in part on one or more characteristics of such object and based on the vertical vanishing point of other frames;
determining the lower boundary of the object;
assigning one of the background classifications to at least one image region based at least in part on the location of the lower boundary of the object in the frame relative to the image region.
25. The method of claim 24 further comprising counting the number of frames in which a lower boundary of an object is present in each image region.
26. The method of claim 25 further comprising counting the number of frames in which an object is present in each image region.
27. The method of claim 26 wherein the assigning of one of the background classifications to at least one image region further comprises comparing the number of frames in which a lower boundary of an object is present in the image region to a floor threshold.
28. The method of claim 27 wherein the assigning of one of the background classifications to at least one image region further comprises comparing the number of frames in which an object is present in the image region to an obstruction threshold.
29. A video analysis system comprising:
means for receiving image data for a plurality of video frames depicting a scene that includes at least one of a plurality of background features, wherein (i) each of the video frames comprises a plurality of image regions and (ii) at least one video frame has an object within at least one image region;
means for providing a plurality of background classifications each corresponding to one of the background features in the scene; and means for assigning one of the background classifications to at least one of the image regions based at least in part on a location of the object relative to the image regions.
30. A video analysis system comprising:
means for receiving image data for a plurality of video frames depicting a scene, wherein at least one video frame has an object within such frame; and means for determining a vanishing point for such frame based at least in part on one or more characteristics of the object and the vanishing point of other frames.
CA2538294A 2003-09-10 2004-09-09 Method and apparatus for computerized image background analysis Active CA2538294C (en)

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US10/659,454 2003-09-10
US10/659,454 US7221775B2 (en) 2002-11-12 2003-09-10 Method and apparatus for computerized image background analysis
PCT/US2004/029417 WO2005026907A2 (en) 2003-09-10 2004-09-09 Method and apparatus for computerized image background analysis

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EP (1) EP1665127B1 (en)
AT (1) ATE474293T1 (en)
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