SBIR/STTR Research Award

Automated Analysis and Classification of Anomalous 3-D Human Shapes and Hostile Actions

Award identifier cd308578876372391085500a5df7a37e3d3a594b92a058f0e2da538cc85b4a02Awarding agency Department of Defense · Air Force

Award amount

$99,234

Program and phase

SBIR · Phase I

Award year

2010

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
Infoscitex Corporation
Proposal award date
2010-04-30
Contract end date
2011-02-28
UEI
NJM7E3Y9QXJ5
Solicitation number
2009.3
Topic code
AF093-030

Research abstract

Infoscitex proposes an innovative and robust solution to this topic, a software tool—HMM4D (Human Modeling and Monitoring in 4-Dimension) that can automatically identify and track a human subject, depict the true body shape, classify shape abnormalities, recognize human activities, and detect hostile actions. Using IST’s dynamic 3-D human shape modeling technology, we will extract a parameterized, dynamic 3-D shape model from 3-D sensor data. De-noising and de-clothing techniques will be implemented to get the ground-truth of body shape. The abnormalities of body shape will be identified and classified using advanced data mining technology. Combined with model-based human motion analysis and supported by dynamic human signatures databases, human activities will be decomposed and analyzed in an ontology framework. Dynamic Bayesian networks will be developed to recognize human behavior and predict human intentions. We have selected a talented team for this project consisting of experienced engineers from Infoscitex and two academic collaborators: Dr. James Davis and Dr. Mariofanna Milanova, who are experts and leading researchers in the areas of computer vision and computerized human modeling. We will perform a case study and develop a software demo to prove our concept and demonstrate the feasibility of our approach in Phase I. BENEFIT: Our technology will provide a creative yet robust solution to the Topic and will offer the following benefits: • HMM4D is designed to work with 3-D sensor data, but it can work with 2-D video imagery as well. This means that our technology can meet current needs as well as future demands from Air Force missions. • HMM4D constructs a parameterized, dynamic human model from multi-modality sensor data. The model not only depicts a human shape with high anthropometric fidelity but also provides a wealth of information about the kinematics and dynamics of human activities and actions. • HMM4D exploits human body shape and motion in four dimensions (three dimensional space plus time). This maximizes the potential uses of the information provided by sensor data, increases the discernment and detection capability, and enhances the robustness of the system so that it can function effectively and reliably in the presence of invalid inputs or stressful environment conditions. • The HMM4D is designed to have an open structure that is adaptable to the development of sensor technology. The interfacing with supporting database and the retrieval and fusion of information are designed to be scalable so that large datasets can be used when they become available. Anticipated Defense and Commercial Applications This technology will have very broad applications in both military and commercial sectors. • As a key technology for human-borne threat detection; • As a screening tool for the security surveillance of public facilities; • For war fighters to efficiently identify enemies from a crowd; • For human search and rescue; • For virtual reality creation; • For the entertainment industry to create vivid human figures and animation.

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

210 SBIR/STTR records share this UEI (1986–2013). Reported award amounts total $64,528,765. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Health and Human Services, National Aeronautics and Space Administration, Department of Homeland Security, Environmental Protection Agency, Department of Agriculture

Agency intelligence

Department of Defense

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.