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Neurophysiological Based Methods of Guided Image Search

Award Information

Agency:
Department of Defense
Branch:
National Geospatial-Intelligence Agency
Award ID:
61052
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
M021-0004
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Veridical Research and Design Corporation
211 W. Main - Lower Level PO Box 6503 Bozeman, MT 59771-6503
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2002
Title: Neurophysiological Based Methods of Guided Image Search
Agency / Branch: DOD / NGA
Contract: NMA401-02-C-0007
Award Amount: $99,558.00
 

Abstract:

"Complex analysis of intelligence imagery is crucial to the missions of intelligence organizations, yet remains constrained by labor-intensive, time-consuming visual search of large volumes of imagery. Many algorithms have been developed to automaticallyidentify regions of interest in large, complex sets of imagery, yet the utility of such algorithms is limited by the fact that human analysts detect features in imagery with higher accuracy than existing methods. We propose to develop a new model of visualfeature detection, Neuronal Synchrony Model, based on neurophysiological models of temporal neuronal processing, to improve the accuracy of automatic detection of features of interest in complex natural imagery. The Neuronal Synchrony Model of imagefeature detection will be applied to accurately identify and highlight regions of images that contain target features, thus automating the labor-intensive, "scanning" portion of imagery analysis. The accuracy of the Neuronal Synchrony Model will be testedwith natural images containing visually controlled, synthetic targets as well as with natural targets using a variety of overhead imagery background and target types. The output of this effort will be a proof-of-concept demonstration of the effectivenessof this model in enhancing the speed and accuracy of interactive, guided visual search of representative imagery. Anticipated benefits of this effort are increased accuracy and speed of proc

Principal Investigator:

Frank M. Marchak
Principal
4065229045
fmarchak@veridicalresearch.com

Business Contact:

Frank M. Marchak
Principal
4065229045
fmarchak@veridicalresearch.com
Small Business Information at Submission:

Veridical Research & Design
922 South Third Avenue Bozeman, MT 59715

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No