ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 2P2-M09
会議情報
2P2-M09 Depth-based Scope Switching and Image Skeletonization for Gesture Recognition(Sense, Motion and Measurement)
Anthony ISAACTomoaki YOSHIKAIHiroaki YAGUCHIKei OKADAMasayuki INABA
著者情報
会議録・要旨集 フリー

詳細
抄録
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.
著者関連情報
© 2011 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top