SENSOR AND DATA FUSION

• US 20150077550A1
• Filed: 09/17/2013
• Published: 03/19/2015
• Est. Priority Date: 09/17/2013
• Status: Abandoned Application

• Current Assignee: Star Management Services LLC
• Original Assignee: Star Management Services LLC
• Inventors: Lorman, Guy, APELBAUM, Yaacov, Ruchovetz, Oleg, Azulay, Shay, Sofer, Ofer, Rathinam Thangavelu, Shiva Karthikeyan
• Application Number:
  US14/028,642
• Publication Number:
  US 20150077550A1
• Time in Patent Office: Days
• US Class Current: 348/143
• CPC Class Codes: G06F 18/251 of input or preprocessed data
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

A surveillance method includes incorporating competitive sensor fusion with complementary sensor fusion in detection of events by a plurality of sensor networks.

Claims

1. A surveillance method comprising incorporating competitive sensor fusion with complementary sensor fusion in detection of events by a plurality of sensor networks.

2. The method of claim 1, further comprising incorporating cooperative sensor fusion in the detection of the events.

3. The method of claim 2, further comprising incorporating data fusion from one or a plurality of data resources in the detection of the events.

4. The method of claim 1, further comprising receiving detection classification from a human operator.

5. The method of claim 1, further comprising receiving detection classification from a hybrid knowledge-based expert system.

6. The method of claim 5, wherein the hybrid knowledge-based expert system comprises automated machine learning capability.

7. The method of claim 1, further comprising scoring a sensor by a sensor scoring system.

8. The method of claim 1, wherein the sensor networks include sensors that are selected from the group of sensors consisting of:

CCTV camera, IR camera, PTZ camera, face recognition camera, acoustic sensor, license plate reader, retinal scanner, fingerprint reader and biometric sensor.

9. A non-transitory computer readable storage medium having stored thereon instructions that when executed by a processor will cause the processor to incorporate competitive sensor fusion with complementary sensor fusion in detection of events by a plurality of sensor networks.

10. The non-transitory computer readable storage medium of claim 9, the instructions further configured to cause the processor to incorporate cooperative sensor fusion in the detection of the events.

11. The non-transitory computer readable storage medium of claim 9, the instructions configured to cause the processor to further incorporate data fusion from one or a plurality of data resources in the detection of the events.

12. The non-transitory computer readable storage medium of claim 9, wherein the instructions are further configured to cause the processor to receive detection classification from a human operator.

13. The non-transitory computer readable storage medium of claim 9, wherein the sensor networks include sensors that are selected from the group of sensors consisting of:

CCTV camera, IR camera, PTZ camera, face recognition camera, acoustic sensor, license plate reader, retinal scanner, fingerprint reader and biometric sensor.

14. The non-transitory computer readable storage medium of claim 9, the instructions further configured to receive detection classification from a hybrid knowledge-based expert system, the hybrid knowledge-based expert system comprising automated machine learning capability.

15. The non-transitory computer readable storage medium of claim 9, the instructions further configured to score a sensor by a sensor scoring system.

16. A system comprising:

a processor, the processor configured to incorporate competitive sensor fusion with complementary sensor fusion in detection of events by a plurality of sensor networks.

17. The system of claim 16, wherein the processor is further configured to incorporate cooperative sensor fusion in the detection of the events.

18. The system of claim 17, wherein the processor is further configured to incorporate data fusion from one or a plurality of data resources in the detection of the events.

19. The system of claim 16, wherein the processor is further configured to receive detection classification from a human operator.

20. The system of claim 16, further comprising one or a plurality of the sensor networks.

21. The system of claim 20, wherein the sensor networks include sensors that are selected from the group of sensors consisting of:

CCTV camera, IR camera, PTZ camera, face recognition camera, acoustic sensor, license plate reader, retinal scanner, fingerprint reader and biometric sensor.

22. The system of claim 16, wherein the processor is further configured to receive detection classification from a hybrid knowledge-based expert system, the hybrid knowledge-based expert system comprising automated machine learning capability.

23. The system of claim 16, wherein the processor is further configured to score a sensor by a sensor scoring system.