SYSTEMS AND METHODS FOR AUTOMATED VISUAL SURVEILLANCE

• US 20160165187A1
• Filed: 12/04/2015
• Published: 06/09/2016
• Est. Priority Date: 12/05/2014
• Status: Active Grant

• Current Assignee: Motorola Solutions, Inc.
• Original Assignee: Avigilon Fortress Corporation (Motorola Solutions, Inc.)
• Inventors: Rasheed, Zeeshan, Eubanks, Dana, Yin, Weihong, Zhang, Zhong, Glowacki, Kyle, Beach, Allison
• Granted Patent: US 10,687,022 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 18/28 Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
• CPC Class Codes: G06T 17/05 Geographic models
• CPC Class Codes: G06T 2207/30232 Surveillance
• CPC Class Codes: G06T 2219/2004 Aligning objects, relative positioning of parts
• CPC Class Codes: G06V 10/772 Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G08B 13/19671 Addition of non-video data, i.e. metadata, to video stream
• 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

Embodiments relate to systems, devices, and computer-implemented methods for performing automated visual surveillance by obtaining video camera coordinates determined using video data, video camera metadata, and/or digital elevation models, obtaining a surveillance rule associated with rule coordinates, identifying a video camera that is associated with video camera coordinates that include at least part of the rule coordinates, and transmitting the surveillance rule to a computing device associated with the video camera. The rule coordinates can be automatically determined based on received coordinates of an object. Additionally, the surveillance rule can be generated based on instructions from a user in a natural language syntax.

Claims

1. A computer-implemented method, comprising:

obtaining video camera coordinates associated with one or more video cameras;

obtaining a surveillance rule associated with rule coordinates;

identifying a video camera of the one or more video cameras that is associated with video camera coordinates that include at least part of the rule coordinates; and

transmitting the surveillance rule to a computing device associated with the video camera.

2. The computer-implemented method of claim 1, wherein the video camera coordinates are determined using video data from the one or more video cameras or metadata from the one or more video cameras.

3. The computer-implemented method of claim 1, wherein the video camera coordinates are determined using one or more digital elevation models.

4. The computer-implemented method of claim 1, wherein the video camera coordinates comprise a location of a video camera.

5. The computer-implemented method of claim 1, wherein the video camera coordinates comprise coordinates in a current field-of-view of a video camera.

6. The computer-implemented method of claim 1, wherein the video camera coordinates comprise coordinates of possible fields-of-view of a video camera.

7. The computer-implemented method of claim 6, further comprising

determining that the surveillance rule is a high-priority rule;

transmitting instructions to the computing device associated with the video camera, wherein the instructions cause the video camera to adjust a position of the video camera to achieve a field-of-view that corresponds to the rule coordinates.

8. The computer-implemented method of claim 1, wherein the surveillance rule is at least one of a tripwire rule, an area of interest rule, or an approach rule.

9. The computer-implemented method of claim 1, wherein the rule coordinates are automatically determined based on an input file that comprises coordinates of an object.

10. The computer-implemented method of claim 1, wherein the surveillance rule is generated based on instructions from a user in a natural language syntax.

11. The computer-implemented method of claim 1, wherein the rule coordinates are automatically determined based on an input name of a map object associated with a digital map that includes coordinates of the map object.

12. The computer-implemented method of claim 1, wherein the computing device monitors a field-of-view of the video camera based on the surveillance rule.

13. The computer-implemented method of claim 12, wherein the computing device monitors a portion of the field-of-view corresponding to the rule coordinates.

14. The computer-implemented method of claim 12, wherein the computing device generates an alert based on an object within the field-of-view of the video camera breaking the surveillance rule.

15. A system, comprising:

a processor; and

a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to;

obtain video camera coordinates associated with one or more video cameras;

obtain a surveillance rule associated with rule coordinates;

identify a video camera of the one or more video cameras that is associated with video camera coordinates that include at least part of the rule coordinates; and

transmit the surveillance rule to a computing device associated with the video camera.

16. The system of claim 15, wherein the video camera coordinates are determined using video data from the one or more video cameras or metadata from the one or more video cameras.

17. The system of claim 15, wherein the video camera coordinates are determined using one or more digital elevation models.

18. The system of claim 15, wherein the video camera coordinates comprise coordinates of possible fields-of-view of a video camera.

19. The system of claim 15, wherein the rule coordinates are automatically determined based on an input file that comprises coordinates of an object.

20. The system of claim 15, wherein the surveillance rule is generated based on instructions from a user in a natural language syntax.