UMR CNRS 7253

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Seminar DI-ASER - March 18th, 2010, Salle C211, 14h00


Robust And Efficient Face Tracking A Robust And Efficient Face Tracking Kernel For Driver Inattention Monitoring Kernel For Driver Inattention Monitoring System

by Dong YANCHAO, PhD Student at Kumamoto University, Japan.

Abstract:

For the application of Driver Inattention Monitoring System a zero-order binocular face tracking kernel and an efficient face shape registration approach has been proposed. 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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