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Video Detection, Tracking and Classification

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
55489
Program Year/Program:
2002 / STTR
Agency Tracking Number:
99ST1-004
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ObjectVideo
11600 Sunrise Valley Drive Suite # 210 Reston, VA 20191-
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2002
Title: Video Detection, Tracking and Classification
Agency / Branch: DOD / DARPA
Contract: DAAH0102CR124
Award Amount: $498,867.00
 

Abstract:

"In order to prevent, deter, and analyze suspicious behavior by individuals in public spaces, this project will develop a commercially viable system for tracking people in various environments using a single camera, or multiple cameras with overlappingfields of view. Single camera tracking of individuals requires algorithms for detecting people and then tracking them. The detection approach will make use of background scene models, skin tone detection, consistency of appearance, image motion and othervideo features. The tracking algorithm, building on the recent advances in particle filter tracking, will use a generic framework for simultaneous human tracking and verification. In order to track individuals using multiple cameras, the cameras must becalibrated relative to each other. In order to achieve this in a relatively automated, commercially-viable manner, corresponding point of a single moving object in each camera will be used to compute the relative calibration. In order to facilitatetracking of individuals through brief occlusions, and to identify tracked individuals as someone previously tracked, face verification will be incorporated into multiple-camera tracking. Two types of approaches will be used for face verfication: PrincipalComponents Analysis, a template-based approach, and Elastic Graph Matching, a feature-based approach."

Principal Investigator:

Mark Allmen
Principal Scientist
3037913525
mallmen@objectvideo.com

Business Contact:

Clara Conti
CEO
7036549300
conti@objectvideo.com
Small Business Information at Submission:

Diamondback Vision, Inc.
11600 Sunrise Valley Drive Reston, VA 20191

EIN/Tax ID: 621736146
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Universtiy of Maryland
Center for Automation Research
College Park, MD 20742
Contact: Phillip Romig, Jr
Contact Phone: (301) 314-9115
RI Type: Nonprofit college or university