Long Range, Non-cooperative, Biometric Tagging, Tracking and Location

Award Information
Agency:
Department of Defense
Branch:
Army
Amount:
$532,508.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
W15P7T-12-C-A038
Agency Tracking Number:
A2-5096
Solicitation Year:
2011
Solicitation Topic Code:
A11-034
Solicitation Number:
2011.1
Small Business Information
Progeny Systems Corporation
9500 Innovation Drive, Manassas, VA, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
945837219
Principal Investigator
 Timothy Faltemier
 Principal Investigator
 (703) 368-6107
 tfaltemier@progeny.net
Business Contact
 Christine Sigety
Title: Manager of Business Suppo
Phone: (703) 368-6107
Email: csigety@progeny.net
Research Institution
 Stub
Abstract
With the growing concerns surrounding security and terrorism around the world, biometrics has become one of the premier solutions to combat these problems. Traditionally, biometrics has been an academic problem that has been studied from the perspective of optimal environments (good lighting, cooperative subjects, single-frontal-2D / 3D photographs, etc.) and unlimited time and processing power. This form of biometric signature is considered"cooperative"and is generally not applicable to the more difficult problem of"real-world"recognition. Non-cooperative feature recognition is an important component to tracking as a method of distinguishing between tracking targets. Tracking and location determination can be accomplished easily on static platforms with controlled backgrounds and camera calibration, but has shown to be significantly more challenging on a mobile UAV platform. Innovative research is required to identify"non-cooperative"techniques that can be developed for implementation under modern battlefield conditions. In this proposal, we present a variety of algorithms and methods to perform tagging, tracking, and locating (TTL) imagery platforms and sensor payloads. We will leverage our prior SBIR and academic experience in this area, fusing remote biometric feature extraction with state-of-the-art image alignment, to tag, track, and locate long-range, non-cooperative targets on diverse video sensor input.

* information listed above is at the time of submission.

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