Feature-Aided Tracking (FAT)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9113M-09-C-0170
Agency Tracking Number: A083-198-0368
Amount: $69,058.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: A08-198
Solicitation Number: 2008.3
Small Business Information
6800 Cortona Drive, Goleta, CA, 93117
DUNS: 054672662
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Charlene Ahn
 (805) 968-6787
Business Contact
 Marcella Lindbery
Title: Director of Finance
Phone: (805) 968-6787
Email: mlindbery@toyon.com
Research Institution
Cooperative engagement and cooperative sensing tasks require the development of accurate and persistent tracks. Though much work to date has focused on tracking using kinematic information only, a wide variety of feature information on the targets may be available to the tracker. Combining this feature information with kinematic information can improve track accuracy and persistence, especially in challenging environments. Toyon Research Corporation proposes a dual-layer solution for feature-aided tracking to deal with both short-term individual measurement associations and longer-term track-to-target associations. A Multiple Hypothesis Tracker (MHT) will be used in conjunction with a Bayesian network to model feature information and possible inferences garnered from this information in a way that promotes improved measurement-to-track association. Toyon’s Tracked Object Manager (TOM) will handle feature database management and use its track stitching algorithms to maintain long-term continuous track, even in situations where features do not singly provide much discrimination between targets. These layers may be implemented in a distributed and decentralized environment. Toyon will also design a test scenario in order to test these algorithms.

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

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