Hyperspectral Mutli-Target Feature-Aided Tracking

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-09-C-0572
Agency Tracking Number: 09SB1-0068
Amount: $98,831.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: SB091-004
Solicitation Number: 2009.1
Small Business Information
4850 Hahns Peak Drive, Suite 200, Loveland, CO, 80538
DUNS: 956324362
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Juan Vasquez
 Program Director
 (937) 427-9725
 juan.vasquez@numerica.us
Business Contact
 Jeff Poore
Title: Vice President/COO
Phone: (970) 461-2422
Email: jeff.poore@numerica.us
Research Institution
N/A
Abstract
Military operations in urban warfare provide an added emphasis to effectively detect, track, and ID ground targets in challenging environments. Given the high dynamic nature of ground targets and the ambiguity that may result from closely spaced targets, incorporation of feature data from sensors such as hyperpsectral imagery (HSI) cameras provides a means to disambiguate the detection and tracking of these targets. The benefit of using these sensors in multi-target detection and tracking is the ability to build feature models for target tracks based on the spectral and spatial information over multiple wavelengths. The video-based tracking community has demonstrated the ability to resolve closely spaced targets by incorporating color features versus intensity data alone. The addition of 20 to 200 additional wavelengths has the potential to significantly improve target detection and tracking to distinguish among targets. The Phase I effort will develop and demonstrate an innovative multiple target feature-aided tracking system and a hierarchical detection process supported by novel detection techniques. The system will focus on HSI feature-aided tracking of multiple targets in an urban setting using both real and simulated data.

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

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