View handling in video surveillance systems

• US 8,497,906 B2
• Filed: 05/17/2010
• Issued: 07/30/2013
• Est. Priority Date: 09/28/2004
• Status: Active Grant

• Current Assignee: Motorola Solutions, Inc.
• Original Assignee: ObjectVideo Incorporated (Alarm.com Holdings, Inc.)
• Inventors: Yin, Weihong, Chosak, Andrew J., Clark, John I. W., Egnal, Geoffrey, Frazier, Matthew F., Haering, Niels, Lipton, Alan J., Madden, Donald G., Mannebach, Michael C., Myers, Gary W., Sfekas, James S., Venetianer, Pter L., Zhang, Zhong
• Primary Examiner(s): Czekaj, David
• Assistant Examiner(s): LI, TRACY Y
• Application Number:
  US12/781,617
• Publication Number:
  US 20100225760A1
• Time in Patent Office: 1,170 Days
• Field of Search: 348/143
• US Class Current: 348/143
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06T 7/254 involving subtraction of images
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources
• CPC Class Codes: H04N 7/188 Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position signal generation from motion picture films H04N5/253

Abstract

A method of video processing may include analyzing input video information to determine if a current video frame is directed to a same view as a previous video frame; determining whether a new view is present; and indicating a need to use video processing information pertaining to the new view if a new view is determined to be present.

Claims

1. A video surveillance apparatus comprising:

a content analysis engine to receive video input and to perform analysis of said video input;

a view engine coupled to said content analysis engine to receive at least one output from said content analysis engine selected from the a first group consisting of video primitives, a background model, and content analysis engine state information, said view engine to provide view identification information based on said at least one output from said content analysis engine;

a rules engine coupled to said view engine to receive view identification information from said view engine;

an inference engine to perform video analysis based on said video primitives and a set of rules associated with a particular view;

memory to store said content analysis engine, said view engine, said rules engine, and said inference engine; and

at least one processor to implement said content analysis engine, said view engine, said rules engine, and said inference engine.

2. The video surveillance apparatus according to claim 1, wherein said inference engine is coupled to said view engine and to said rules engine, and wherein said rules engine outputs said set of rules based on said view identification information.

3. The video surveillance apparatus according to claim 1, further comprising:

a view database coupled to said view engine to store at least one view and to provide information on at least one view to said view engine.

4. The video surveillance apparatus according to claim 1, further comprising:

a response engine coupled to said rules engine to receive at least one output from said inference engine and to perform, in response to said at least one output from said inference engine, at least one of the functions selected from the a second group consisting of;

providing at least one alert and causing some action to be taken.

5. The video surveillance apparatus according to claim 1, further comprising:

a video buffer coupled to said content analysis engine or to said view engine.

6. The video surveillance apparatus according to claim 1, wherein said content analysis engine comprises:

a gross change detector to operate on one or more video frames and to perform one or more tasks selected from the a second group consisting of;

determining whether said one or more video frames include one or more bad frames; and

determining if a gross change has occurred.

7. The video surveillance apparatus according to claim 6, wherein said content analysis engine further comprises:

a blobizer to receive data corresponding to said one or more video frames and coupled to said gross change detector; and

a primitive generator coupled to said blobizer and to said gross change detector, said primitive generator to generate video primitives.

8. The video surveillance apparatus according to claim 6, wherein said content analysis engine further comprises:

a data manager coupled to receive and to store said one or more video frames and coupled to said gross change detector.

9. The video surveillance apparatus according to claim 8, wherein said data manager is adapted to receive signals from the gross change detector to indicate when one or more of said video frames should be deleted by said data manager.

10. The video surveillance apparatus according to claim 6, wherein said gross change detector comprises a state machine.

11. A video processing apparatus comprising:

a content analysis engine coupled to receive video input and to generate video primitives based on said video input, said content analysis engine further to perform one or more tasks selected from the a first group consisting of;

determining whether said one or more video frames included one or more bad frames; and

determining if a gross change has occurred;

a view engine coupled to said content analysis engine to receive at least one output from said content analysis engine selected from the a second group consisting of video primitives, a background model, and content analysis engine state information, said view engine to provide view identification information based on said at least one output from said content analysis engine;

memory to store said content analysis engine, said view engine, said rules engine, and said inference engine; and

at least one processor to implement said content analysis engine, said view engine, said rules engine, and said inference engine.

12. The video processing apparatus according to claim 11, wherein said content analysis engine comprises:

a gross change detector to operate on one or more video frames and to perform one or more tasks selected from the a third group consisting of;

determining whether said one or more video frames include one or more bad frames; and

determining if a gross change has occurred.

13. The video surveillance apparatus according to claim 12, wherein said content analysis engine further comprises:

a blobizer to receive data corresponding to said one or more video frames and coupled to said gross change detector; and

a primitive generator coupled to said blobizer and to said gross change detector, said primitive generator to generate video primitives.

14. The video surveillance apparatus according to claim 12, wherein said content analysis engine further comprises:

a data manager coupled to receive and to store said one or more video frames and coupled to said gross change detector.

15. The video surveillance apparatus according to claim 14, wherein said data manager is adapted to receive signals from the gross change detector to indicate when one or more of said video frames should be deleted by said data manager.

16. The video surveillance apparatus according to claim 12, wherein said gross change detector comprises a state machine.