Robust Multiple Target Tracking

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$749,828.00
Award Year:
2008
Program:
STTR
Phase:
Phase II
Contract:
W911NF-08-C-0068
Agency Tracking Number:
A074-007-0091
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
OBJECTVIDEO
11600 Sunrise Valley Drive, Suite # 290, Reston, VA, 20191
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
038732173
Principal Investigator:
Mun Lee
Principal Investigator
(703) 654-9300
mlee@objectvideo.com
Business Contact:
Paul Brewer
Founder, VP New Technology
(703) 654-9314
pbrewer@objectvideo.com
Research Institution:
UNIV. OF SOUTHERN CALIFORNIA
RAMAKANT NEVATIA
3737 WATT WAY
PHE 204, MC-0273
LOS ANGELES, CA, 90089
(213) 740-6427
Nonprofit college or university
Abstract
ObjectVideo and University of Southern California propose to develop innovative algorithms for robust and efficient visual tracking. The key issues of multiple target tracking are: variations in target shape and appearance due to camera viewpoint and illumination condition, non-linear target motion, self and inter-occlusion, image noise and distortion, and high scene clutter. We identify four main goals to ensure robust tracking: (i) accurate detection of targets, (ii) robust online tracking, (iii) persistent tracking of multiple targets across multiple frames, and (iv) tracking across multiple cameras. In Phase I, we developed algorithms for target detection based on the AdaBoost technique using different types of image features. We designed a collaborative multiple-kernel algorithm for robust online tracking as well as a multi-frame algorithm for data association. In Phase II, we will extend our approach to handle more complex and challenging environments, such as low frame-rate and noisy video. We will also develop algorithms to perform cross-camera tracking and to process high-resolution video. The product of this effort is a technology demonstration system that performs robust real-time multiple target tracking in challenging environments.

* information listed above is at the time of submission.

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