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Complex Event Detection in Video and Communications

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0287
Agency Tracking Number: N10A-040-0092
Amount: $69,983.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T040
Solicitation Number: 2010.A
Timeline
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-06-28
Award End Date (Contract End Date): 2011-04-30
Small Business Information
11600 Sunrise Valley Drive Suite # 290
Reston, VA 20191
United States
DUNS: 038732173
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 HIMAANSHU GUPTA
 CO-PRINCIPAL INVESTIGATOR
 (703) 654-9373
 hgupta@objectvideo.com
Business Contact
 PAUL BREWER
Title: VP, NEW TECHNOLOGY
Phone: (703) 654-9314
Email: pbrewer@objectvideo.com
Research Institution
 George Mason University
 Michael Locasto
 
4400 University Drive MS 1G5
Fairfax, VA 22030
United States

 (703) 993-4106
 Nonprofit College or University
Abstract

This Small Business Technology Transfer (STTR) Phase-I project will constitute design of algorithms, toolsets, and interfaces to detect and visualize complex events from video and communications data. Our proposed system would be based on a Service Oriented Architecture (SOA) which will allow users to integrate services and data from multiple sources and operate in a networked environment. The key innovations in the proposed effort are: 1) automated detection of rule-based and unusual events that may span multiple sensors, 2) detection of network anomaly and intrusion detection from communications data, 3) reliable complex event and anomaly detection using data from multiple cameras and network services using a detection oriented Complex Event Processing (CEP) engine that allows fusion of data from various SOA-based client services, 4) enhanced user interface based on NASA's WorldWind geo-browser plug-in for wide area situational awareness of the operator. In addition, metrics for complex activity detection will be investigated and a thorough performance analysis of the proposed innovation will be carried out to ensure robustness. This will ensure that a scalable and robust baseline complex event detection system is developed by the end of Phase I.

* Information listed above is at the time of submission. *

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