2P2-M09 Depth-based Scope Switching and Image Skeletonization for Gesture Recognition(Sense, Motion and Measurement)
スポンサーリンク
概要
- 論文の詳細を見る
We describe a software framework from which gesture detection components are parametrically defined and applied to depth images with a human in the field of view. Using depth data, the framework can quickly switch between a wide view and a narrow view, depending on whether or not the person in view is performing the gesture in the xy-plane of his or her body or in front of his or her body. Gesture recognition is based on extracting local maxima and local minima of border pixels of the region of interest. Gesture detection examples include finger-counting, waving, "come here", and "It's hot!", which can be applied to robot systems that require human-robot interaction via robot vision.
- 一般社団法人日本機械学会の論文
- 2011-05-26
著者
-
Okada Kei
Univ. of Tokyo
-
Inaba Masayuki
Univ. of Tokyo
-
ISAAC Anthony
Univ. of Tokyo
-
YOSHIKAI Tomoaki
Univ. of Tokyo
-
YAGUCHI Hiroaki
Univ. of Tokyo
関連論文
- 2A1-S-051 Humanoid robot in the kitchen : From task dependent toward an autonomous system(Humanoid 3,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)
- 2P2-M09 Depth-based Scope Switching and Image Skeletonization for Gesture Recognition(Sense, Motion and Measurement)