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A Robust Facial Feature Tracking Method Based on Optical Flow and Prior Measurement

Author

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  • Guoyin Wang

    (Chonggqing University of Posts and Telecommunications, China)

  • Yong Yang

    (Chonggqing University of Posts and Telecommunications, China)

  • Kun He

    (Tencent Corporation, China)

Abstract

Cognitive informatics (CI) is a research area including some interdisciplinary topics. Visual tracking is not only an important topic in CI, but also a hot topic in computer vision and facial expression recognition. In this paper, a novel and robust facial feature tracking method is proposed, in which Kanade-Lucas-Tomasi (KLT) optical flow is taken as basis. The prior method of measurement consisting of pupils detecting features restriction and errors and is used to improve the predictions. Simulation experiment results show that the proposed method is superior to the traditional optical flow tracking. Furthermore, the proposed method is used in a real time emotion recognition system and good recognition result is achieved.

Suggested Citation

  • Guoyin Wang & Yong Yang & Kun He, 2010. "A Robust Facial Feature Tracking Method Based on Optical Flow and Prior Measurement," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 4(4), pages 62-75, October.
    • Handle: RePEc:igg:jcini0:v:4:y:2010:i:4:p:62-75
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