EVIDENCE ACCRUAL FOR MODEL BASED VISION

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 12157
Amount: $490,713.00
Phase: Phase II
Program: SBIR
Awards Year: 1991
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1500 Plymouth St, Mountain View, CA, 94043
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr Robert Fung
 (415) 960-7300
Business Contact
Phone: () -
Research Institution
N/A
Abstract
SUCCESSFULLY APPLYING MODEL-BASED REASONING TO REAL WORLD VISION PROBLEMS (E.G. AUTOMATIC TARGET RECOGNITION ?ATR?) REQUIRES ACCURATE REPRESENTATION OF COMPLEX RELATIONSHIPS AMONG THINGS IN THE WORLD AND OBSERVABLE IMAGE FEATURES. EVIDENCE ACCRUAL TECHNIQUES MUST BE ABLE TO OPERATE OVER THESE RELATIONSHIPS WITH LITTLE LOSS IN INFORMATION. CURRENT TECHNIQUES SUCH AS BAYESIAN NETWORKS SHOW PROMISE, BUT HAVE SOME LIMITATIONS IN THE NATURE OF THE RELATIONSHIPS THEY CAN EASILY REPRESENT. BINARY CONSTRAINT SYSTEMS SEEM TO BE A STRONG CANDIDATE FOR SUPPLEMENTING THIS OR OTHER EVIDENCE ACCRUAL SCHEMES. THE PROPOSED EFFORT WILL INVESTIGATE AND DEVELOP TECHNIQUES FOR PARAMETER ESTIMATION AND EVIDENCE ACCRUAL USING BINARY CONSTRAINT SYSTEMS. THIS DEVELOPMENT WILL TAKE PLACE ON THE SARES TESTBED.

* Information listed above is at the time of submission. *

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