Intelligent surveillance system and method for integrated event based surveillance

• US 20070291118A1
• Filed: 06/16/2006
• Published: 12/20/2007
• Est. Priority Date: 06/16/2006
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Hampapur, Arun, Lu, Zuoxuan, Tian, Ying-Li, Brown, Lisa Marie, Senior, Andrew William, Shu, Chiao-fe
• Application Number:
  US11/455,251
• Publication Number:
  US 20070291118A1
• Time in Patent Office: Days
• US Class Current: 348/156
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

A surveillance system and method includes a plurality of sensors configured to monitor an environment. A plurality of analytic engines is associated with each of the plurality of sensors. The plurality of analytic engines employs different technologies and is configured to analyze input from the sensors to determine whether an event has occurred in a respective technology. A unifying data model is configured to cross correlate detected events from the different technologies to gain integrated situation awareness across the different technologies.

Claims

1. A surveillance system, comprising:

a plurality of sensors configured to monitor an environment;

a plurality of analytic engines associated with each of the plurality of sensors, the plurality of analytic engines employing different technologies and being configured to analyze input from the sensors to determine whether an event has occurred in a respective technology; and

a unifying data model configured to cross correlate detected events from the different technologies to gain integrated situation awareness across the different technologies.

2. The system as recited in claim 1, wherein the plurality of sensors includes at least one of:

a camera, a badge reader, and a motion detector.

3. The system as recited in claim 1, wherein the plurality of analytic engines includes at least one of:

a behavior analysis engine, a license plate recognition engine, a face recognition engine, a badge reader engine and a radar analytic engine.

4. The system as recited in claim 1, wherein the unifying data model includes a time line data model which associates events with a time to define an integrated event.

5. The system as recited in claim 1, wherein the unifying data model is based on a threat model that considers potential threats to an environment.

6. The system as recited in claim 1, wherein the system includes a system data model which captures a specification of a monitoring system, a user data model which models users, privileges and user functionality and an event data model which captures events that occur in a monitored space.

7. The system as recited in claim 1, further comprising a database configured to index integrated situation information such that the integrated situation information is searchable by a user.

8. A surveillance system, comprising:

a plurality of cameras configured to monitor an environment;

a plurality of analytic engines associated with each camera, the plurality of analytic engines employing recognition and motion detection technologies to analyze input from the cameras to determine whether an event has occurred in a respective technology in accordance with defined event criteria; and

a unifying data model configured to cross correlate detected events from different technologies by indexing events in a database to gain integrated situation awareness across the different technologies.

9. The system as recited in claim 8, wherein the recognition and motion detection technologies include at least one of:

behavior analysis, license plate recognition, a face recognition, a badge reader and ground radar.

10. The system as recited in claim 8, wherein the unifying data model includes a time line data model which associates events with a time to define an integrated event.

11. The system as recited in claim 8, wherein the unifying data model is based on a threat model that considers potential threats to an environment.

12. The system as recited in claim 8, wherein the system includes a system data model which captures a specification of a monitoring system, a user data model which models users, privileges and user functionality and an event data model which captures events that occur in a monitored space.

13. A surveillance method, comprising:

analyzing sensor input from a plurality of sensors using multiple analytical technologies to detect events in the sensor input; and

cross correlating the events in a unifying data model such that the cross correlating provides an integrated situation awareness across the multiple analytical technologies.

14. The method as recited in claim 13, further comprising registering new analytical technologies and cross correlating the new analytical technologies with existing analytical technologies.

analyzing sensor input includes analyzing sensor input from at least one of:

a camera, a badge reader, and a motion detector.

15. The method as recited in claim 13, wherein using multiple analytical technologies includes using at least one of:

a behavior analysis engine, a license plate recognition engine, a face recognition engine, a badge reader engine and a radar analytic engine.

16. The method as recited in claim 13, wherein cross correlating includes correlating events to a time line to associates events to define an integrated event.

17. The method as recited in claim 13, further comprising querying a data base to determine an integrated event that matches the query.

18. The method as recited in claim 13, wherein the cross correlating the events includes indexing and storing the events in a single repository.

19. The method as recited in claim 13, further comprising alerting a user of a situation where integrated situation information is combined to trigger an alert.

20. A computer program product comprising a computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:

analyzing sensor input from a plurality of sensors using multiple analytical technologies to detect events in the sensor input; and

cross correlating the events in a unifying data model such that the cross correlating provides an integrated situation awareness across the multiple analytical technologies.