SBIR/STTR Research Award

Video Analysis Using Perceptual Organization and Machine Learning

Award identifier d0a11ebbb4057b4aff83340abb6f613ac26d1ba2811ba75c5ea600d21188e913Awarding agency Department of Defense · Air Force

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2005

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
SCIENTIFIC SYSTEMS COMPANY, INC.
Proposal award date
2005-05-24
Contract end date
2006-02-25
UEI
C12TQVKF5413
Solicitation number
2005.1
Topic code
AF05-309

Research abstract

The objectives of this project (Phase I and II) are to develop learning type algorithms for the purpose of automated identification and tracking of events captured on video. Phase I will develop learning based algorithms for use with identifying events in digital video. Phase II will develop and demonstrate prototype software capable of automated video data analysis using an algorithm that learns what key events look like and then is able to find those events in a video stream. This will be based on a Perceptual Organization framework for motion estimation and to extract relevant features from a video stream and a Machine Learning framework for learning and event identification.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

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

Research funding history

464 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $186,567,405. Reported amounts are not federal obligations.

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

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

Agency intelligence

Department of Defense

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