Supervised Learning for Automated Detection of Events

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-12-C-0229
Agency Tracking Number: N121-017-1362
Amount: $79,934.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solitcitation Year: 2012
Solitcitation Topic Code: N121-017
Solitcitation Number: 2012.1
Small Business Information
Barron Associates, Inc.
1410 Sachem Place, Suite 202, Charlottesville, VA, -
Duns: 120839477
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Michael DeVore
 Senior Research Scientist
 (434) 973-1215
 barron@bainet.com
Business Contact
 Connie Hoover
Title: General Manager
Phone: (434) 973-1215
Email: barron@bainet.com
Research Institution
 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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