Persistent Surveillance in an Urban Environment

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-08-C-P604
Agency Tracking Number: A072-081-1248
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: A07-081
Solicitation Number: 2007.2
Small Business Information
6800 Cortona Drive, Goleta, CA, 93117
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Craig Agate
 Senior Analyst
 (805) 968-6787
 cagate@toyon.com
Business Contact
 Marcella Lindbery
Title: Director of Finance and Contracts
Phone: (805) 968-6787
Email: mlindbery@toyon.com
Research Institution
N/A
Abstract
Automatically detecting threatening behavior of dismounts would be an important capability in providing security to both civilians and miltiary personnel. Numerous environments could benefit from improved protective security monitoring, including military bases, governmental offices or complexes, schools, public gatherings, and industrial plants. A system designed to address such a problem requires a collection of distributed sensors that monitor an area-of-interest (AOI) to provide persistent surveillance. Persistent surveillance does not simply mean having enough sensors to provide good coverage of an AOI, but the ability to process the sensor data and provide situation assessment. Toyon Research proposes to extend our work in the areas of EO/IR detection and tracking of dismounts as well as feature-aided tracking algorithms used for track stitching to the problem of continuously tracking dismounts in urban surveillance environments as they pass through multiple, disjoint sensor field-of-views (FOVs). In Phase I Toyon will investigate different features (e.g., facial, motion characteristics) that can be extracted from EO/IR imagery and used to uniquely characterize a dismount detected and tracked in a video sequence. Experiments will be carried out to demonstrate the ability to identify a dismount as it passes through several disjoint sensor FOVs from features collected on the dismount.

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

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