McFRETA: Multi-camera real-time Feature Recognition, Extraction&Tagging Automation

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-11-M-6192
Agency Tracking Number:
F103-032-2406
Solicitation Year:
2010
Solicitation Topic Code:
AF103-032
Solicitation Number:
2010.3
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400, Rockville, MD, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator:
Mun Lee
Senior Research Scientist
(301) 294-4762
mlee@i-a-i.com
Business Contact:
Mark James
Director, Contracts and Proposals
(301) 294-5221
mjames@i-a-i.com
Research Institution:
Stub




Abstract
ABSTRACT: Intelligent Automation, Inc. (IAI) proposes an open and scalable framework for Multi-camera real-time Feature Recognition, Extraction & Tagging Automation (McFRETA). Our approach has the following key innovations: (1) A real-time moving targets detection and tracking based on planar motion parallax analysis and scene contextual information. (2) Design of an open metadata schema, based on Web Ontology Language (OWL), (3) Develop an open processing architecture that support correlation and fusion of multiple video streams and support rule-based inference and alert notification, and (4) a geo-browser visualization tool for displaying extracted metadata with corresponding video, as well as support searching and querying of visual features and metadata. BENEFIT: The proposed framework will enable real-time automated feature extraction and parsing of multiple video streams, and the generation of metadata representing visual features and detected entities. The framework will assist analysts to examine large amount of video imagery, and provide capabilities for querying and finding objects in the scene.

* information listed above is at the time of submission.

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