SBIR/STTR Research Award

Visual Search for FMV to Support Target Reacquisition from Airborne Platforms

Award identifier eb4446edccb1a6d925bb5fcd0e74f349aa41fa59d40a331eba8e819ee7e261a8Awarding agency Department of Defense · Air Force

Award amount

$50,000

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
VIDROVR INC.
Proposal award date
2019-12-12
Contract end date
2020-12-12
UEI
J7MHSLJPEDJ7
Solicitation number
DoD SBIR X19.2
Topic code
AF193-CSO1

Research abstract

Vidrovr believes current computer vision solutions are incomplete and do not provide a tractable solution for the Air Force in use cases pertaining to target reacquisition or re identification for FMV. This problem can be reformulated as a visual search problem. No off the shelf solutions provide visual search on video. There are many issues around this problem domain - lack of annotated training data as well as fast model adaptability of for out of scope classes comes up often. These are some of the machine learning problem that Vidrovr's dual use systems aim to solve in order to deliver visual search for FMV.

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

8 SBIR/STTR records share this UEI (2017–2020). Reported award amounts total $2,449,156. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation

Agency intelligence

Department of Defense

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