We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
ROBUST COLOR OBJECT TRACKING WITH APPLICATION TO PEOPLE MONITORING.
- Authors
TAO, JI; TAN, YAP-PENG; LU, WENMIAO
- Abstract
We present an automated and complete camera-based monitoring system that makes use of low-level color features to perform detection, tracking and recognition of multiple people in video sequence. Specifically, the system employs a novel coverage check-up method to segment detected foreground regions into isolated people and then localize each of them. During tracking, the appearances of people are modeled by their color histograms so that the system can keep aware of their identities and recognize them after occlusions by maximizing the joint likelihood. To make the recognition more robust against shadows or changes of background illumination, the system also incorporates a shadow removal scheme to suppress shadow effects and hence improve the quality of color histogram. The proposed system has been used to identify people who re-enter the field of view of a monitoring camera in a closed-environment. Experimental results of real video data demonstrate the efficacy of the proposed people monitoring system.
- Subjects
IMAGE transmission equipment; HIGH-speed video recording; COMPUTER integrated manufacturing systems; AUTOMATION; AUTOMATIC data collection systems
- Publication
International Journal of Image & Graphics, 2007, Vol 7, Issue 2, p227
- ISSN
0219-4678
- Publication type
Article
- DOI
10.1142/S0219467807002647