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Automated Detection and Cueing

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H92222-06-P-0051
Agency Tracking Number: S061-001-0031
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SOCOM06-001
Solicitation Number: 2006.1
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-08-11
Award End Date (Contract End Date): 2007-02-11
Small Business Information
Suite A, 75 Aero Camino
Goleta, CA 93117
United States
DUNS: 054672662
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Berger
 (805) 968-6787
Business Contact
 Marcella Lindbery
Title: Director of Finance and Contracts
Phone: (805) 968-6787
Research Institution

Infrared (IR) imagery provides a rich source of information for target detection, feature-based tracking, and identification. Yet, variable operating conditions, including sensor range, viewing angle, as well as target illumination and degree of occlusion, have so far prevented the development and effective deployment of a complete solution for real-time target identification. While much attention has been devoted to discovering target features, which are invariant to orientation and affine view transformation, the resulting features have proven to be insufficiently discriminatory for large model databases. To address these and other challenges, we propose the use of scale- and affine transformation-invariant spatial and intensity features, combined with spectral histogram features, for robust, high-performance target identification. Further, we show how real-time processing capability can be achieved through efficient candidate target segmentation, followed by a hierarchical classification structure. This framework ensures that the most computationally demanding operations are only performed for a small number of most likely candidate target matches. Throughout, we show how storage and bandwidth requirements can be minimized, to enable deployment of the complete system in a variety of resource-constrained environments, leading to reduced operator workload and improved combat effectiveness.

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

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