Tracking and segmenting people in varying lighting conditions using colour
- 1 January 1998
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densities of colour for skin, clothing and back- ground. These models were used to detect, track and seg- ment people, faces and hands. A technique for dynamically updating the models to accommodate changes in apparent colour due to varying lighting conditions was used. Two applications are highlighted: (1) actor segmentation for vir- tual studios, and (2) focus of attention for face and gesture recognition systems. A system implemented on a 200MHz PC tracks multiple objects in real-time.Keywords
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