Video Triggered Analyses

• US 20160188980A1
• Filed: 12/30/2015
• Published: 06/30/2016
• Est. Priority Date: 12/30/2014
• Status: Abandoned Application

• Current Assignee: Morphotrust USA Incorporated (Advent International Corporation)
• Original Assignee: Morphotrust USA Incorporated (Advent International Corporation)
• Inventors: Martin, Brian
• Application Number:
  US14/984,524
• Publication Number:
  US 20160188980A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06V 20/44 Event detection
• 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 13/19608 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
• CPC Class Codes: G08B 13/19615 wherein said pattern is defined by the user
• CPC Class Codes: G08B 13/19645 Multiple cameras, each having view on one of a plurality of scenes, e.g. multiple cameras for multi-room surveillance or for tracking an object by view hand-over
• CPC Class Codes: G08B 25/08 using communication transmission lines G08B13/19658, G08B21/0286, G08B25/016 take precedence
• CPC Class Codes: G11B 27/005 Reproducing at a different information rate from the information rate of recording for television signals H04N5/783
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence
• CPC Class Codes: H04N 5/77 between a recording apparatus and a television camera
• CPC Class Codes: H04N 5/783 Adaptations for reproducing at a rate different from the recording rate
• 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

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a video feed of a scene that includes an object in at least a portion of the scene. Tracking the object using an object tracking algorithm. Detecting a change in the object from a first frame of the video feed to a second frame of the video feed. Automatically causing an analysis to be performed on a portion of the video feed that includes the object and the change in the object in response to detecting the change. Other implementations of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.

Claims

1. A computer-implemented method for performing video triggered analyses, the method being executed by one or more processors and comprising:

receiving, by the one or more processors, a video feed of a scene that includes an object in at least a portion of the scene;

tracking, by the one or more processors, the object using an object tracking algorithm;

detecting, by the one or more processors, a change in the object from a first frame of the video feed to a second frame of the video feed; and

in response to detecting the change, automatically causing, by the one or more processors, an analysis to be performed on a portion of the video feed that includes the object and the change in the object.

2. The method of claim 1, wherein causing the analysis of the portion of the video feed comprises:

selecting a third frame of the video feed that captures the object before the change in the object was detected; and

selecting a fourth frame of the video feed that occurs after the third frame in a display sequence of the video feed,

wherein the portion of the video feed includes consecutive frames of the video feed between the third frame and the fourth frame.

3. The method of claim 1, wherein causing the analysis of the portion of the video feed comprises causing the portion of the video feed to be replayed on a display device.

4. The method of claim 1, wherein causing the analysis of the portion of the video feed comprises causing the portion of the video feed to be replayed on a display device at a slower frame rate.

5. The method of claim 1, wherein causing the analysis of the portion of the video feed comprises causing the portion of the video feed to be stored.

6. The method of claim 1, wherein the object is a first object, and wherein causing the analysis of the portion of the video feed comprises:

identifying a second object that caused the change to the first object; and

tracking the second object.

7. The method of claim 1, wherein the object is a first object, and wherein causing the analysis of the portion of the video feed comprises:

identifying a second object that cause the change to the first object; and

causing a facial recognition analysis to be performed on the second object.

8. The method of claim 1, wherein the object is a first object, and wherein causing the analysis of the portion of the video feed comprises:

identifying a second object that cause the change to the first object; and

capturing an image of the second object.

9. The method of claim 1, wherein the object the object is a face,

wherein the change in the object is a rotation of the face, and

wherein the analysis is a facial recognition analysis.

10. The method of claim 9, further comprising in response to detecting the change, causing an image of the face to be captured.

11. The method of claim 1, further comprising in response to detecting the change, causing a second analysis to be performed on a portion of a second video feed.

12. The method of claim 11, wherein the video feed is of the scene from a first perspective, and

wherein the second video feed is of the scene from second perspective that is different from the first perspective.

13. The method of claim 11, wherein the video feed is a first video feed of a first scene, and

wherein the second video feed is of a second scene that is different from the first scene.

14. The method of claim 11, wherein the second analysis is a facial detection analysis.

15. The method of claim 1, wherein the change in the object is one of:

a change in color, a change in contrast, a change in position within the scene, or a rotation of the object.

16. The method of claim 1, wherein the video feed is of live video of the scene.

17. The method of claim 1, wherein the video feed is of a pre-recorded video of the scene.

18. The method of claim 17, wherein the video feed is displayed in reverse time sequence, and

wherein causing the analysis of the portion of the video feed comprises causing a portion of the pre-recorded video to be displayed in forward time sequence.

19. A system for performing video triggered analyses, the system comprising:

one or more computers; and

a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations, the operations comprising;

receiving a video feed of a scene that includes an object in at least a portion of the scene;

tracking the object using an object tracking algorithm;

detecting a change in the object from a first frame of the video feed to a second frame of the video feed; and

in response to detecting the change, automatically causing an analysis to be performed on a portion of the video feed that includes the object and the change in the object.

20. A non-transient computer readable storage device storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

receiving a video feed of a scene that includes an object in at least a portion of the scene;

tracking the object using an object tracking algorithm;

detecting a change in the object from a first frame of the video feed to a second frame of the video feed; and

in response to detecting the change, automatically causing an analysis to be performed on a portion of the video feed that includes the object and the change in the object.