METHOD AND APPARATUS FOR VIDEO ANALYSIS ALGORITHM SELECTION BASED ON HISTORICAL INCIDENT DATA

• US 20140118543A1
• Filed: 10/31/2012
• Published: 05/01/2014
• Est. Priority Date: 10/31/2012
• Status: Abandoned Application

• Current Assignee: Motorola Solutions, Inc.
• Original Assignee: Motorola Solutions, Inc.
• Inventors: KELLER, MATTHEW C., KERBS, GLENN F.
• Application Number:
  US13/665,879
• Publication Number:
  US 20140118543A1
• Time in Patent Office: Days
• US Class Current: 348/143
• CPC Class Codes: G08B 13/19604 involving reference image or background adaptation with time to compensate for changing conditions, e.g. reference image update on detection of light level change

Abstract

A method and apparatus to provide a VAE schedule to a camera is provided herein. During operation, a processor extracts historical incident data and generates an incident heat map of an area based on the historical incident data. A camera viewshed is determined and utilized along with the incident heat map to determine a VAE schedule for use with a camera.

Claims

1. A method for determining a video analysis engine (VAE) schedule for a video stream associated with a camera, the method comprising the steps of:

determining a plurality of incidents desired to be detected;

generating a VAE schedule for the video stream based on the incidents desired to be detected.

2. The method of claim 1 wherein the step of generating the VAE schedule for the video stream comprises the step of:

determining or obtaining a type of incident most likely to occur;

wherein the step of generating the VAE comprises generating the VAE based on the type of incident most likely to occur.

3. The method of claim 2 further comprising the steps of:

determining or obtaining a camera viewshed for the camera; and

wherein the step of generating the VAE comprises generating the VAE based on the type of incident most likely to occur and the camera viewshed.

4. The method of claim 3 wherein the step of determining the camera viewshed comprises the steps of:

determining or obtaining a geographic location or set of possible geographic locations for the camera;

using a map to determine unobstructed views for the camera based on the geographic location or set of possible geographic locations of the camera; and

determining the camera viewshed based on the unobstructed views for the camera.

5. The method of claim 1 wherein the step of determining the plurality of incidents desired to be detected comprises the steps of determining incidents based on proximity to sensitive infrastructure/schools/etc., type of incident, or severity of incident.

6. The method of claim 1 wherein the VAE schedule causes network equipment to use a first VAE at a first time and a second VAE at a second time.

7. The method of claim 6 wherein the VAE schedule comprises a schedule for the network equipment to autonomously change its VAE based on time.

8. The method of claim 1 further comprising the step of:

transmitting the VAE schedule to network equipment.

9. A method for creating a video analysis engine (VAE) schedule for a video stream associated with a camera, the method comprising the steps of:

determining or obtaining a geographic location or set of possible geographic locations for the camera;

determining or obtaining a heat map for the geographic location or set of possible geographic locations using historical incident data for incidents desired to be detected;

determining or obtaining a viewshed for the camera based on the geographic location or set of possible geographic locations;

using the heat map and the viewshed to determine the types of incidents desired to be detected; and

using the determined incidents and the viewshed to create the VAE schedule.

10. The method of claim 9 further comprising the step of:

transmitting the VAE schedule to the camera or a camera controller or a Network Video Recorder or other network equipment.

11. The method of claim 9 further comprising the step of:

determining the incidents desired to be detected based on the types of incidents that have a greater probability of occurrence, proximity of incidents occurrence to sensitive infrastructure/schools/etc., type of incident, or severity of incident.

12. The method of claim 10 wherein the VAE schedule comprises a schedule for the network equipment to use a first VAE for a first period of time and a second VAE for a second period of time.

13. An apparatus comprising:

a processor determining a plurality of incidents desired to be detected and generating a VAE schedule for a video stream based on the incidents desired to be detected.

14. The apparatus of claim 13 wherein the processor determines the VAE schedule by determining or obtaining a type of incident most likely to occur;

and

the processor generates the VAE schedule based on the type of incident most likely to occur.

15. The apparatus of claim 13 wherein the processor determines or obtains a camera viewshed and generates the VAE based on the type of incident most likely to occur and the camera viewshed.

16. The apparatus of claim 15 wherein the processor determines the camera viewshed by:

determining or obtaining a geographic location or set of possible geographic locations for the camera;

using a map to determine unobstructed views for the camera based on the geographic location or set of possible geographic locations of the camera; and

determining the camera viewshed based on the unobstructed views for the camera.

17. The apparatus of claim 13 wherein the VAE schedule causes network equipment to use a first VAE at a first time and a second VAE at a second time.

18. The apparatus of claim 17 wherein the VAE schedule comprises a schedule for the network equipment to autonomously change its VAE based on time.

19. The apparatus of claim 13 further comprising a network interface for transmitting the VAE schedule to network equipment.

20. The apparatus of claim 13 wherein processor determines the plurality of incidents desired to be detected is based on the type of incident most likely to occur, proximity of incidents occurrence to sensitive infrastructure/schools/etc., type of incident, or severity of incident.