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Human face tracking using Gaussian mixture models and fuzzy shape analysis

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2 Author(s)
Wang Yanjiang ; Coll. of Inf. & Control Eng., Univ. of Pet., Shandong, China ; Yuan Baozong

This paper presents a novel approach for fast human face location and tracking in color image sequences. First, the skin-like pixels are detected by modeling skin color as Gaussian mixtures. The mixture model is used to assign a probability to each pixel in an image and face-like regions are detected by grouping suitably sized areas of high probability. Then, the face-like regions are determined by fuzzy shape analysis. Experimental results show that the tracking speed is fast and can be easily integrated into a human-computer interaction system.

Published in:

Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on  (Volume:2 )

Date of Conference:

31 Aug.-4 Sept. 2004