SBIR/STTR Research Award
HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition
Award amount
$150,000Program and phase
STTR · Phase IAward year
2018Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- Intelligent Automation, Inc.
- Proposal award date
- 2018-08-09
- Contract end date
- 2019-08-09
- UEI
- C3QJD7VXG167
- Solicitation number
- 2018.0
- Topic code
- AF18A-T014
Research abstract
Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recognize targets. Our approach will use a multi-layered, hierarchical model that can handle changes in target's signature and apparent view. Initially the effort will focus on EO/IR image sequences and extend the approach to multispectral data in Phase II.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- HASLOC: Hierarchical And-Or Structures for Localization and Object Recognition
- STAN: Scene and Target Analysis Network
- Application of Hierarchical Memory Models to Automatic Target Recognition Modeling and Simulation
Research funding history
1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. 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, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security