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Facial feature tracking combining model-based and model-free method

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4 Author(s)
Jianyu Wang ; Dept. of Comput. Sci., Harbin Inst. of Technol., China ; Wen Gao ; Shiguang Shan ; XiaoPeng Hu

We propose a novel facial feature tracker, which integrates model-free and model-based methods to track dense facial features reliably with complex non-rigid motions in low quality video sequences. The tracker consists of the mouth motion model part and the enhanced KLT (Kanade-Lucas-Tomasi) tracker part. There are three key elements in our algorithms: dense facial feature tracking; noise removal with global rank constraints; characteristic non-rigid motion description. Experiments show good results on tracking dense facial features under various expressions, even when some facial features have degenerate features.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:3 )

Date of Conference:

6-10 April 2003