Video Analysis Using Perceptual Organization and Machine Learning

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9302-11-C-0009
Agency Tracking Number: F051-309-3112a
Amount: $872,042.00
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solicitation Year: 2005
Solicitation Topic Code: AF05-309
Solicitation Number: 2005.1
Small Business Information
Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000, Woburn, MA, -
DUNS: 859244204
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Andrew Browning
 Senior Research Engineer
 (781) 933-5355
 andrew.browning@ssci.com
Business Contact
 Jay Miselis
Title: Corporate Controller
Phone: (781) 933-5355
Email: contracts@ssci.com
Research Institution
 Stub
Abstract
ABSTRACT: The goal of this project is to develop, demonstrate, and implement at EAFB the EVASE:"Extensible Video Analysis of Symbology Events"Matlab toolkit. This system is based on the premise that it will learn symbology events during training by an expert operator, and then autonomously detect this symbology in long video sequences, resulting in a list of key events to assist the operator in further analysis. During the Phase I, we developed the EVASE Matlab toolkit which includes a GUI, video preprocessing and noise removal, symbol event detection, symbol recognition, and operator training. Finally, we demonstrated the EVASE toolkit using F-16 HUD video with a focus on symbology from armament, radar, and avionics. During the Phase II we will expand the EVASE Matlab toolkit to include a comprehensive list of events from armaments, radar, and avionics and along with the F-16 include other types of aircraft. BENEFIT: The EVASE system will enhance the ability of the Air Force to manage flight test and simulation projects by providing software to see and recognize symbolic information from the HUD and instrumentation.

* information listed above is at the time of submission.

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