SBIR/STTR Research Award

Human Activity Recognition

Award identifier a49bc6b7a017ee2771fbe02878060f54a62827503e9da43d6396ffea35e0639eAwarding agency Department of Defense · Navy

Award amount

$69,664

Program and phase

SBIR · Phase I

Award year

2003

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
Navy
Recipient company
ObjectVideo
Proposal award date
Not reported
Contract end date
Not reported
UEI
LJGXCMEUAX33
Solicitation number
Not reported
Topic code
Not reported

Research abstract

ObjectVideo currently markets a commercial automated video surveillance product that detects and tracks targets in video streams. The product allows a user to specify simple events of interest via an intuitive graphical user interface. ObjectVideo proposesbasic research with the goal of enhancing product capabilities in the following areas: (1) detecting individual humans and recognizing their poses and gestures; (2) using machine learning techniques to automatically detect abnormal or threatening humanactivities; (3) extending event descriptions to encompass wide ranging activities that can be observed over long periods of time or over a wide spatial extent (via multiple cameras); and (4) integrating the input from multiple sensor modalities (thermal,microwave, acoustic, etc.) to increase the robustness and variety of detectable human events. Particular emphasis will be placed on human interface components that allow easy, intuitive system tasking and feedback to learning algorithms. State-of-the-artsecurity systems consist of a large array of sensors providing a continuous stream of data for human consumption. This raises a major problem - there is too much data for any human to analyze reliably. The data is ignored. Automated approaches torecognition of activities and events are critically needed if this data is going to be used for proactive, real-time threat warnings, and not after-the-fact evidence gathering. This proposal will augment the current state-of-the-art, which includes basicblob tracking and type classification from a single camera, with the more advanced abilities, including human activity recognition from multiple sensors.There are many commercial applications of this technology. Any security installation with remote sensors requires better analysis of that security data. We see two attractive market segments, spanning homeland defense, force protection, and commercialphysical security: (1) truly sensitive installations that will always require the best warning systems, and (2) mid-size installations that often want to reduce personnel costs. ObjectVideo's current product for automated video surveillance has found awarm reception among the country's most security conscious managers, and we believe the new technologies proposed here will be even more warmly received.

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.

Research funding history

54 SBIR/STTR records share this UEI (2002–2015). Reported award amounts total $18,765,109. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation

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.