Supervised Learning for Automated Detection of Events

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$79,934.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
N68335-12-C-0229
Award Id:
n/a
Agency Tracking Number:
N121-017-1362
Solicitation Year:
2012
Solicitation Topic Code:
N121-017
Solicitation Number:
2012.1
Small Business Information
1410 Sachem Place, Suite 202, Charlottesville, VA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
120839477
Principal Investigator:
Michael DeVore
Senior Research Scientist
(434) 973-1215
barron@bainet.com
Business Contact:
Connie Hoover
General Manager
(434) 973-1215
barron@bainet.com
Research Institute:
Stub




Abstract
Barron Associates proposes to develop and demonstrate algorithms for detecting events involving one or more objects in a sensor data stream and mechanisms for post-deployment training of those algorithms by analysts. The algorithm training approach will be highly efficient, requiring minimal interaction with analysts, who need only provide an example of the desired event and possibly answer a small number of questions clarifying their intent. The resulting system will allow analysts to save and share event definitions, will run in real-time, and will be built around a service oriented architecture for ease of integration into existing and forthcoming systems. The project will leverage significant existing capabilities in the area of automated behavior analysis developed by Barron Associates.

* information listed above is at the time of submission.

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