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Facial Behavior Recognition for Driver's Fatigue Detection  

Park, Ho-Sik (오산대학 디지털전자과)
Bae, Cheol-Soo (관동대학교 전자통신공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.9C, 2010 , pp. 756-760 More about this Journal
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.
Keywords
Facial Behavior; Driver's Fatigue; Facial Feature; Bayesian Network; FACS;
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