CA2399106A1 - System for automated screening of security cameras - Google Patents

System for automated screening of security cameras Download PDF

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Publication number
CA2399106A1
CA2399106A1 CA002399106A CA2399106A CA2399106A1 CA 2399106 A1 CA2399106 A1 CA 2399106A1 CA 002399106 A CA002399106 A CA 002399106A CA 2399106 A CA2399106 A CA 2399106A CA 2399106 A1 CA2399106 A1 CA 2399106A1
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Canada
Prior art keywords
video
measures
image data
parameter
color
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Granted
Application number
CA002399106A
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French (fr)
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CA2399106C (en
Inventor
Maurice Garoutte
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Cernium Corp
Original Assignee
Cernium, Inc.
Maurice Garoutte
Sentry Engineering, Inc.
Cernium Corporation
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Publication of CA2399106A1 publication Critical patent/CA2399106A1/en
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Publication of CA2399106C publication Critical patent/CA2399106C/en
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Classifications

    • 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
    • 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
    • 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

Abstract

A system (10) for automatically screening closed circuit television (CCTV) cameras (14) for large and small scale security systems, as used for example in parking garages. The system includes six primary software elements (30, 32, 34, 36, 38, 40), each performing a unique function within the operation of the security system to provide intelligent camera selection for operators, resulting in a marked decrease of operator fatigue in a CCTV system.

Claims (24)

1. A method for real-time analysis of video image data, said method comprising the steps of:
(a) performing a single pass through a frame of said video image data; and (b) generating a terrain map from said pass through said frame of said video image data, said terrain map comprising a plurality of parameters wherein said parameters indicate the content of said video image data.
2. The method according to claim 1, wherein said parameters are generated by color space calculations, said color space calculations comprising a color degree parameter which measures how far a color is from gray scale.
3. The method according to claim 1, wherein said parameters are generated by color space calculations, said color space calculations comprising a color direction parameter which measures color based on a two-dimensional color analysis.
4. The method according to claim 1, wherein said parameters further comprise an average altitude parameter which measures an average value of four pixels in the center of a 2x2 kernel in said frame of said video image data.
5. The method according to claim 4, wherein said parameters further comprise a degree of slope parameter which measures an absolute difference between a highest average value and a lowest average value calculated by said average altitude.
6. The method according to claim 4, wherein said parameters further comprise a direction of slope parameter which measures a direction of slope based on a highest average value and a lowest average value calculated by said average altitude.
7. The method according to claim 1, wherein said parameters further comprise a horizontal smoothness parameter which measures a consistency of change in horizontal direction from a lowest pixel to a highest pixel in said frame of said video image data.
8. The method according to claim 1, wherein said parameters further comprise a vertical smoothness parameter which measures a consistency of change in vertical direction from a lowest pixel to a highest pixel in said frame of said video image data.
9. The method according to claim 1, wherein said parameters further comprise a jaggyness parameter which measures an offset in pixels between odd and even fields for a target segmented from said frame of said video image data.
10. The method according to claim 1, wherein said real-time analysis discriminates between vehicular traffic and pedestrian traffic.
11. The method according to claim 10, wherein said real-time analysis further comprises a maintain background function wherein a background is segregated from a moving target by averaging said video image data which contains no said moving target and said moving target is further analyzed to determine if said moving target is a pedestrian or a vehicle.
12. The method according to claim 1, wherein said real-time analysis recognizes at least one event which defines the presence of or change in a target within said video image data.
13. The method according to claim 12, wherein said events comprise one or more of the following:

presence of a single person;
presence of multiple people;
fast person;
fallen person;
lurking person;
erratic person;
converging people;
presence of a single vehicle;
presence of multiple vehicles;
fast vehicle; or sudden stop vehicle.
14. The method according to claim 1, wherein said parameters further comprise:
a color degree parameter which measures how far a color is from gray scale;
a color direction parameter which measures color based on a two-dimensional color analysis;
an average altitude parameter which measures an average value of four pixels in the center of a 2x2 kernel in said frame of said video image data;
a degree of slope parameter which measures an absolute difference between a highest average value and a lowest average value calculated by said average altitude;
direction of slope parameter which measures a direction of slope based on said highest average value and said lowest average value calculated by said average altitude;
a horizontal smoothness parameter which measures a consistency of change in horizontal direction from a lowest pixel to a highest pixel in said frame of said video image data;
a vertical smoothness parameter which measures a consistency of change in vertical direction from a lowest pixel to a highest pixel in said frame of said video image data; and a jaggyness parameter which measures an offset in pixels between odd and even fields for a target segmented from said frame of said video image data.
15. The method according to claim 1, wherein said parameters further comprise:
an average altitude parameter which measures an average value of four pixels in the center of a 2x2 kernel in said frame of said video image data;
a degree of slope parameter which measures an absolute difference between a highest average value and a lowest average value calculated by said average altitude;
direction of slope parameter which measures a direction of slope based on said highest average value and said lowest average value calculated by said average altitude;
a horizontal smoothness parameter which measures a consistency of change in horizontal direction from a lowest pixel to a highest pixel in said frame of said video image data;
a vertical smoothness parameter which measures a consistency of change in vertical direction from a lowest pixel to a highest pixel in said frame of said video image data; and a jaggyness parameter which measures an offset in pixels between odd and even fields for a target segmented from said frame of said video image data.
16. A method for real-time analysis of video image data, said method comprising the steps of:
(a) performing a single pass through a frame of said video image data; and (b) generating a terrain map from said pass through said frame of said video image data, said terrain map comprising a color space calculation wherein said color space calculation comprises:
a color degree parameter which measures how far a color is from gray scale; and a color direction parameter which measures color based on a two-dimensional color analysis.
17. A computer system for automated screening of security cameras, said computer system in communication with a plurality of video cameras and comprising real-time image analysis components wherein video image data from said video cameras is analyzed by said image analysis components and said video image data is then selectively presented to an operator for security monitoring.
18. The computer system according to claim 17, wherein said computer system further comprises:
at least one video worker, said video worker capturing video image data from said security cameras;
at least one analysis worker, said analysis worker receiving said video data from said video worker and performing image analysis on said video data;
at least one video supervisor, said video supervisor controlling said reception of video data of said analysis worker from said video worker;
at least one node manager, said node manager receiving said video data from said video worker;
a set rules graphical user interface (GUI), said GUI providing an interface to said computer system for required configuration data for said computer system;
and a system arbitrator, said system arbitrator receiving said video data from said node manager and in communication with said set rules GUI, wherein said arbitrator selectively sends said video data to an operator for security monitoring purposes.
19. The computer system according to claim 18, wherein said analysis worker further comprises a library of functions, wherein said functions manipulate said video data.
20. The computer system according to claim 19 wherein said functions further comprise:
color space calculations, said color space calculations comprising:
a color degree parameter which measures how far a color is from gray scale; and a color direction parameter which measures color based on a two-dimensional color analysis.
21. The computer system according to claim 17, said computer system further comprising:
a pan-tilt-zoom control for manual control of said security cameras by said operator.
22. The computer system according to claim 17, said computer system further comprising:
an operator console, said operator console comprising a plurality of video monitors;
a central switch which receives input from said security cameras; and at least one quad splitter, said quad sputter receiving said video data from said central switch and sending multiple video scenes to one of said video monitors.
23. In a video system using full time recordation of video including targets having different levels of interest, a method of reducing storage required for video recording comprising varying frame rate and compression rate of the video as a function of symbolic content of the video such that targets of greater level of interest are recorded clearly while targets having lesser level of interest, such as vehicles, are recorded sparingly.
24. In a system for automated screening of at least one video security camera for which there is full time recordation of video output of said camera, including background, and targets, including vehicles and persons, of symbolic content having respectively different levels of interest, a method of reducing storage required for video recordation of the video output of said camera, comprising varying frame rate and compression rate of the video output of said camera as a function of symbolic content of the video output such that targets of greater interest, such as people, are recorded clearly while targets of lesser interest, such as vehicles, and background, are recorded sparingly.
CA2399106A 2000-02-04 2001-02-05 System for automated screening of security cameras Expired - Lifetime CA2399106C (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US18032300P 2000-02-04 2000-02-04
US60/180,323 2000-02-04
US09/773,475 2001-02-01
US09/773,475 US6940998B2 (en) 2000-02-04 2001-02-01 System for automated screening of security cameras
PCT/US2001/003639 WO2001057787A1 (en) 2000-02-04 2001-02-05 System for automated screening of security cameras

Publications (2)

Publication Number Publication Date
CA2399106A1 true CA2399106A1 (en) 2001-08-09
CA2399106C CA2399106C (en) 2012-12-04

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CA2399106A Expired - Lifetime CA2399106C (en) 2000-02-04 2001-02-05 System for automated screening of security cameras

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US (4) US6940998B2 (en)
EP (1) EP1266345B1 (en)
JP (1) JP4618965B2 (en)
AT (1) ATE381073T1 (en)
AU (2) AU2001238024B2 (en)
CA (1) CA2399106C (en)
DE (1) DE60131840T2 (en)
IL (2) IL151004A0 (en)
WO (1) WO2001057787A1 (en)

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