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Realtime head and hands tracking by monocular vision

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2 Author(s)
Vacavant, A. ; Universite Claude Bernard Lyon I, France ; Chateau, T.

This paper deals with areas detection and tracking using color based image processing. The application addressed concerns human head and hands tracking. We propose an original method in order to locate, for a foreground image, colored areas. Foreground image is provided by a probabilistic way using Gaussian mixture models (GMM) of probability density functions. The temporal tracking is then achieved by a particle filter, which is well adapted to partial occlusions and non Gaussian models.

Published in:

Image Processing, 2005. ICIP 2005. IEEE International Conference on  (Volume:2 )

Date of Conference:

11-14 Sept. 2005

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