TY - CHAP
T1 - Sleep Technology for Driving Safety
AU - Chen, Sei Wang
AU - Yao, Kuo Peng
AU - Lin, Hui Wen
N1 - Publisher Copyright:
© 2012, Springer Science+Business Media Dordrecht.
PY - 2012
Y1 - 2012
N2 - In this chapter, a vision system for monitoring driver vigilance is presented. The level of vigilance is determined by integrating a number of facial parametric values including: percentage of eye closure over time, average eye closure duration, eye blinking frequency, average degree of gaze, average duration of mouth openness and head nodding frequency. Initially, facial features including the eyes, mouth and head are first located in the input video sequence. They are then tracked over subsequent images. Facial parameters are estimated during facial feature tracking. A number of video sequences having drivers of both sex and of different ages under various illuminations and road conditions are employed to test the performance of the proposed system. Finally, we suggest future work on how to extend the system in terms of both efficiency and effectiveness.
AB - In this chapter, a vision system for monitoring driver vigilance is presented. The level of vigilance is determined by integrating a number of facial parametric values including: percentage of eye closure over time, average eye closure duration, eye blinking frequency, average degree of gaze, average duration of mouth openness and head nodding frequency. Initially, facial features including the eyes, mouth and head are first located in the input video sequence. They are then tracked over subsequent images. Facial parameters are estimated during facial feature tracking. A number of video sequences having drivers of both sex and of different ages under various illuminations and road conditions are employed to test the performance of the proposed system. Finally, we suggest future work on how to extend the system in terms of both efficiency and effectiveness.
KW - Driver vigilance monitoring system
KW - Facial feature detection and tracking
KW - Facial parameter estimation
KW - Fuzzy reasoning
KW - Vision system
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U2 - 10.1007/978-94-007-5470-6_12
DO - 10.1007/978-94-007-5470-6_12
M3 - Chapter
AN - SCOPUS:85042944632
T3 - Intelligent Systems, Control and Automation: Science and Engineering
SP - 219
EP - 243
BT - Intelligent Systems, Control and Automation
PB - Springer Netherlands
ER -