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.


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    Title :

    A robust and efficient face tracking kernel for Driver Inattention Monitoring System


    Contributors:


    Publication date :

    2010-06-01


    Size :

    1037635 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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