SBIR/STTR Research Award

4D Dynamic Scene Modeling for Situational Awareness

Award identifier 67aba0843818dddf97e4bcc92f0ede9e05fa5be85be3ad27be7e419c9b666eacAwarding agency Department of Defense · Air Force

Award amount

$1,499,727

Program and phase

SBIR · Phase II

Award year

2013

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Systems & Technology Research LLC
Proposal award date
2013-04-08
Contract end date
2016-10-03
UEI
SA7ZWUEM9RG4
Solicitation number
2012.1
Topic code
AF121-165

Research abstract

ABSTRACT: We propose to develop a systematic framework for constructing 3D scene knowledge from EO/IR video sequences to provide accurate 3D change detections, informative shadow/occlusion masks for target tracking, and geo-location and compression indicators. We construct 3D scene models at a range of fidelities to support robust modeling over a broad range of imaging geometries and viewpoint diversities. 3D models are constructed efficiently by leveraging scalable distributed processors as well as a sparse volumetric reasoning algorithm that separates parallax from ground motion using just a few image frames. The 3D modeling processing is extendable to integrate data from other 3D sources and the 3D change detection processing is extendable to integrate change indications form multiple sensing modalities. The 3D scene modeling and analysis capabilities provides a practical and rich source of high-fidelity spatial constraints that is fully up-to-date and immediately exploitable for downstream scene understanding applications that require accurate target detection, tracking, and/or geolocation in urban and high relief environments. BENEFIT: The automated development of 3D models from aerial video data will enable high performance ISR applications in complex urban and high terrain relief environments. 3D scene models provide strong spatial constraints for focusing target detection on areas of interest, such as the ground plane, confidently identifying parallax effects, and predicting occlusion and shadowing effects. Keys to the success of a practical tool to accomplish these functions is the integration of 3D data from multiple viewpoints and modalities, ability to process video data from arbitrary collection geometries, and efficient processing of computationally complex 3D modeling algorithms. The 3D modeling and analysis tool will generate of actionable 3D-derived data products such as 3D change detection, 3D geolocation, shadow projection, occlusion projection, and compression quality indicators for use in a wide range of defense, security and geographic information system applications.

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

110 SBIR/STTR records share this UEI (2011–2021). Reported award amounts total $55,429,329. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Contractor profile

SYSTEMS & TECHNOLOGY RESEARCH LLC

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Defense

NAICS intelligence

This classification comes from the contractor profile, not from the SBIR award record.

Contractor industry classification NAICS 541512

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.