Feature-Aided Tracking (FAT)

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,058.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
W9113M-09-C-0170
Award Id:
92067
Agency Tracking Number:
A083-198-0368
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6800 Cortona Drive, Goleta, CA, 93117
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
054672662
Principal Investigator:
Charlene Ahn
Analyst
(805) 968-6787
cahn@toyon.com
Business Contact:
Marcella Lindbery
Director of Finance
(805) 968-6787
mlindbery@toyon.com
Research Institute:
n/a
Abstract
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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