Facial Behavior Recognition for Driver's Fatigue Detection 


Vol. 35,  No. 9, pp. 756-760, Sep.  2010


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  Abstract

This paper is proposed to an novel facial behavior recognition system for driver's fatigue detection. Facial behavior is shown in various facial feature such as head expression, head pose, gaze, wrinkles. But it is very difficult to clearly discriminate a certain behavior by the obtained facial feature. Because, the behavior of a person is complicated and the face representing behavior is vague in providing enough information. The proposed system for facial behavior recognition first performs detection facial feature such as eye tracking, facial feature tracking, furrow detection, head orientation estimation, head motion detection and indicates the obtained feature by AU of FACS. On the basis of the obtained AU, it infers probability each state occur through Bayesian network.

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  Cite this article

[IEEE Style]

H. Park and C. Bae, "Facial Behavior Recognition for Driver's Fatigue Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 9, pp. 756-760, 2010. DOI: .

[ACM Style]

Ho-sik Park and Cheol-soo Bae. 2010. Facial Behavior Recognition for Driver's Fatigue Detection. The Journal of Korean Institute of Communications and Information Sciences, 35, 9, (2010), 756-760. DOI: .

[KICS Style]

Ho-sik Park and Cheol-soo Bae, "Facial Behavior Recognition for Driver's Fatigue Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 9, pp. 756-760, 9. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880