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Wide Area Unresolved Target Detection and Tracking

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-11-C-1012
Agency Tracking Number: F093-132-0565
Amount: $745,624.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: AF093-132
Solicitation Number: 2009.3
Timeline
Solicitation Year: 2009
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-04-07
Award End Date (Contract End Date): N/A
Small Business Information
P.O. Box 2607
Winnetka, CA -
United States
DUNS: 082191198
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Scott Dobson
 Staff Scientist
 (818) 885-2251
 sdobson@arete.com
Business Contact
 Dave Campion
Title: Vice President
Phone: (818) 885-2224
Email: contracts@arete.com
Research Institution
 Stub
Abstract

The evolving threats of modern warfare have placed new demands on the development and delivery of robust intelligence, surveillance and reconnaissance (ISR) solutions. Arete proposes an operational solution to the challenging problem of automatically detecting and tracking low-contrast dismounted targets in large format MWIR imagery. The proposed solution will transition the successful Phase I algorithms into a real-time capable demonstration system that meets tracking performance requirements. The algorithms developed during Phase I are well-suited for implementation on a graphics processing unit (GPU), which will make feasible a real-time system. Utilizing existing real-time GPU processing libraries will enable rapid development of this complex system. BENEFIT: Precision real-time geo-registration and dim target detection and tracking technology will satisfy growing needs in both the defense and law enforcement markets. Additionally, there is a need in all markets (government and commercial) for robust GPU image processing libraries. Additional Phase II results of value include vastly improved detection performance for wide area surveillance systems and the advancement of algorithms needed to successfully identify and mitigate sources of false alarms in dense clutter environments.

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

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