Dismount Detection, Tracking and Classification

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$99,318.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
W909MY-11-C-0055
Award Id:
n/a
Agency Tracking Number:
A111-036-0964
Solicitation Year:
2011
Solicitation Topic Code:
A11-036
Solicitation Number:
2011.1
Small Business Information
P.O. Box 2607, Winnetka, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
082191198
Principal Investigator:
Andrew Hock
Manager
(818) 885-2200
ahock@arete.com
Business Contact:
Dave Campion
Vice President
(818) 885-2200
contracts@arete.com
Research Institution:
Stub




Abstract
In this proposal, Arete Associates describes a novel approach to dismount detection, tracking and classification in ground-based infrared image sequences. The proposed approach leverages state-of-the-art hierarchical machine learning algorithms (HMLA) for autonomous target detection and activity threat level classification and proven Bayesian peak tracking (BPT) methods for robust tracking through time. The proposal describes our understanding of the problem, proposed solution and Phase I SBIR work tasks in context of the larger problem and Arete related work. A proof-of-concept test is described in which a simple HMLA algorithm implementation demonstrated successful classification of running versus walking subjects in test sequences of multi-frame infrared data.

* information listed above is at the time of submission.

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