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--- en:d_yanchao [2010/03/15 11:34] – created castillo
+++ en:d_yanchao [2010/03/15 11:49] (current) – castillo
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-==== Seminar DI-ASER - March 18th, 2010 ====
+==== Seminar DI-ASER - March 18th, 2010, Salle C211, 14h00 ====
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 == 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**, Kumamoto University, Japan.
+by **Dong YANCHAO**, PhD Student at Kumamoto University, Japan.
 Abstract:
-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.
+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.
 {{en:aser_d_yabchao.pdf|Slides}}

UMR CNRS 7253

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