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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    Titel :

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


    Beteiligte:
    Yanchao Dong, (Autor:in) / Zhencheng Hu, (Autor:in) / Uchimura, Keiichi (Autor:in) / Murayama, Nobuki (Autor:in)


    Erscheinungsdatum :

    01.06.2010


    Format / Umfang :

    1037635 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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