Automated Entity Classification in Video Using Soft Biometrics

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$942,691.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
N00014-09-C-0477
Award Id:
87611
Agency Tracking Number:
N081-077-0605
Solicitation Year:
2008
Solicitation Topic Code:
N08-077
Solicitation Number:
2008.1
Small Business Information
9500 Innovation Drive, Manassas, VA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
945837219
Principal Investigator:
Tim Faltemier
Principal Investigator
(703) 368-6107
tfaltemier@progeny.net
Business Contact:
Christine Sigety
Manager of Business Suppo
(703) 368-6107
csigety@progeny.net
Research Institution:
n/a
Abstract
With the growing concerns surrounding security and terrorism around the world, biometrics has become one of the premier solutions to combat these problems. Today, even the most sophisticated identification algorithms can take up to 10 seconds to accurately identify a single subject due to the massive size of realistic databases (~1 million subjects). In this proposal, we will discuss a detailed plan to develop a prototype application capable of automatically extracting"soft biometric"feature information from video imagery for identification and subject indexing. To attain the highest performance at the lowest risk, we plan to partner with renowned domain experts at the University of Notre Dame and West Virginia University to leverage cutting edge biometric algorithms and techniques. To ensure success in developing a prototype application with a modular biometric feature framework, we will leverage a partnership with fellow Phase I award winner intuVision, that will allow us to base many of our GUI designs on their successful commercial products. At the conclusion of the Phase II and Phase II Option research and development tasks, we plan to deliver a fully functional prototype that will illuminate a path for successful Phase III integration.

* information listed above is at the time of submission.

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