SBIR/STTR Research Award

Dismount Detection, Tracking and Classification

Award identifier e0cd68ed41fdfd4a7bf5a7e5be0582ab6bc31e819c0861549f44d0dedfa92b5fAwarding agency Department of Defense · Army

Award amount

$99,318

Program and phase

SBIR · Phase I

Award year

2011

Award details

Awarding agency: Department of Defense
Branch: Army
Recipient company: ARETE ASSOCIATES
Proposal award date: 2011-08-26
Contract end date: Not reported
UEI: DMKEXJ8NQ4C5
Solicitation number: 2011.1
Topic code: A11-036

Research 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.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

417 SBIR/STTR records share this UEI (1994–2025). Reported award amounts total $220,044,517. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Commerce, Department of Energy, Department of Health and Human Services, National Science Foundation, Department of Homeland Security