For the application of Driver Inattention Monitoring System this paper propose a zero-order binocular face tracking kernel and an efficient face shape registration approach. This kernel tracks such parameters as the face position & orientation, the eyeball yaw & pitch, the eyelids animation and the mouth & jaw animation. From the view of computational cost, accuracy and robustness against registration error, camera calibration error and measurement noise, the proposed zero-order binocular face tracking kernel has shown robustness and efficiency.
A robust and efficient face tracking kernel for Driver Inattention Monitoring System
2010 IEEE Intelligent Vehicles Symposium ; 929-934
2010-06-01
1037635 byte
Conference paper
Electronic Resource
English
A Robust and Efficient Face Tracking Kernal for Driver Inattention Monitoring System, pp. 929-934
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