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

カテゴリ: 部門大会

論文No: MC4-3

グループ名: 【C】平成22年電気学会電子・情報・システム部門大会講演論文集

発行日: 2010/09/02

タイトル(英語): A Robust And Efficient Face Tracking Kernel For Driver Inattention Monitoring System

著者名: ドン延超 (熊本大学),胡 振程(熊本大学)

著者名(英語): Yanchao Dong(Kumamoto University),Zhencheng Hu(Kumamoto University)

キーワード: 運転|不注意|3D 顔のトラッキング3D 顔のトラッキング|Driving|Inattention|3D Face Tracking

要約(日本語): Abstract?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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