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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

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

Published in:

Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

6-9 July 2003