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Tracking Interacting People (2000)
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| Venue: | Proceedings. Fourth IEEE International Conference on Automatic Face and Gesture Recognition |
| Citations: | 45 - 1 self |
BibTeX
@MISC{McKenna00trackinginteracting,
author = {Stephen J. McKenna and S. Jabri and Z. Duric and H. Wechsler},
title = {Tracking Interacting People},
year = {2000}
}
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Abstract
A computer vision system for tracking multiple people in relatively unconstrained environments is described. Tracking is performed at three levels of abstraction: regions, people and groups. A novel, adaptive background subtraction method that combines colour and gradient information is used to cope with shadows and unreliable colour cues. People are tracked through mutual occlusions as they form groups and part from one another. Strong use is made of colour information to disambiguate occlusions and to provide qualitative estimates of depth ordering and position during occlusion. Some simple interactions with objects can also be detected. The system is tested using indoor and outdoor sequences. It is robust and should provide a useful mechanism for boot-strapping and reinitialisation of tracking using more specific but less robust human models.
Keyphrases
simple interaction unconstrained environment computer vision system useful mechanism strong use adaptive background subtraction method multiple people depth ordering mutual occlusion outdoor sequence qualitative estimate robust human model unreliable colour cue colour information gradient information
