Automated Target Recognition in Gigapixel Video

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-08-M-1372
Agency Tracking Number: F073-076-0318
Amount: $99,920.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: AF073-076
Solicitation Number: 2007.3
Small Business Information
6350 Rolling Mill Ct, Unit 103, Springfield, VA, 22152
DUNS: 784994621
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Geoffrey Egnal
 (703) 451-1777
Business Contact
 Stuart Claggett
Title: CEO
Phone: (703) 451-1777
Research Institution
The objective of the proposed program is to develop a long term image-based tracking camera system. Our goal is to allow fewer personnel to analyze and respond to threats detected in aerial video, making large format video useful in real time analysis. We propose to exploit long term ‘contextual’ information gathered over long periods of time over wide areas to improve tracking performance. Further, we provide identification and classification of thousands of simultaneous targets using both tracking information and previously gathered identity data. In the first phase, we propose to study three algorithms – short term tracking (0-30 seconds), medium term tracking (30 seconds – 1 hour), and long term tracking and identification (1 hour – 24 hours). ArguSight personnel have significant experience in large format imagery and video analysis, and are well qualified to address all parts of the work effort. We will be working with subcontractor Carnegie Mellon University (CMU, a premier computer vision research center.

* information listed above is at the time of submission.

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