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Georegistration of Imagery with Target Tracking

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-09-M-1517
Agency Tracking Number: F083-128-1398
Amount: $99,993.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF083-128
Solicitation Number: 2008.3
Timeline
Solicitation Year: 2008
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-01-22
Award End Date (Contract End Date): 2009-10-31
Small Business Information
P.O. Box 2607
Winnetka, CA 91396
United States
DUNS: 082191198
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 David Campion
 Corporate Senior Staff
 (818) 885-2200
 george.bohannon@tsc.com
Business Contact
 Curt Harkless
Title: California Operations Man
Phone: (818) 885-2200
Email: eric.wilen@tsc.com
Research Institution
N/A
Abstract

Dynamic Scene Analysis - a real time implementation of an image registration, target detection, tracking, and geo-location software product.  Registration is based upon Mutual Information, a more efficient and robust technique than traditional feature-based methods.  Reference imagery and live imagery are utilized as needed to refine the estimate of the sensor position and attitude in the geo-registration solution.  The algorithm automatically and adaptively performs the required computations to maintain the desired level of accuracy.  Moving ground targets are automatically detected using an algorithm based on Optical Flow; it is ideally suited to separate object motion from perspective-generated scene motion, greatly reducing false alarms.  Tracks are formed in geo-registered coordinates using an Associative Tracker, enabling tracking of irregularly moving or intermittently visible targets and fusion of target information from multiple sources.  Image Supplemented Tracking further distinguishes targets moving close together.  Tracking algorithms are adaptively executed as needed to maintain accurate track while minimizing computational burden.  The efficiency, flexibility, and adaptability of our processing stream lends well to implementation in a variety of computing environments. BENEFIT: This research will create a system that automatically detects, tracks, and geo-locates ground targets from airborne imagery at video rate, and determines the uncertainty of geo-locations.  The processing is efficient and intended to be run on board the aircraft.

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

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