Theory and Application of Foveated Acquisition and Tracking (TAFAT)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8651-07-M-0189
Agency Tracking Number: F071-155-0485
Amount: $99,993.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: AF071-155
Solicitation Number: 2007.1
Small Business Information
4515 Seton Center Parkway, Suite 320, Austin, TX, 78759
DUNS: 158034665
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Thayne Coffman
 Principal Scientist
 (512) 342-0010
Business Contact
 Irene Williams
Title: COO
Phone: (512) 342-0010
Research Institution
The proposed Theory and Application of Foveated Acquisition and Tracking (TAFAT) effort will develop both the theory and the application of target acquisition, tracking, and recognition for high-speed digitally foveating cameras. Digitally foveating cameras offer fundamentally new capabilities that can improve the performance of military and commercial automatic targeting systems, but formal first-principles analysis is lacking for their application to the rapid acquisition, tracking, and recognition of multiple targets. As a result, state-of-the-art techniques for foveated targeting are too simple and brittle. TAFAT will build the theoretic foundation for the use of foveated targeting systems, and principled methodologies for optimizing their performance, through a set of studies. It will use those studies to guide the development of the new robust techniques described in our proposal for foveated image formation, fovea placement, fovea shaping, resolution transitions, acquisition, tracking, and recognition. TAFAT will provide high-performance foveated tracking systems of practical use to the United States Armed Forces by jointly addressing the theoretic and practical barriers described above. TAFAT leverages 21st Century Technologies’ existing foveated camera control and algorithm evaluation framework, as well as the recognized expertise in foveated image processing of our consultant, Professor Alan C. Bovik.

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

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