作者: Yasuto Nakanishi , Kenji Oka , Xinlei Chen , Hideki Koike , Yoichi Sato
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摘要: In this paper, we propose a fast and robust method for tracking multiple fingertips; then demonstrate gesture recognition an application based on measured fingertip trajectories augmented desk interface systems. Our can track fingertips reliably even in complex background under dynamically changing lighting condition with- out any markers. After are detected each input infrared image frame, correspondences of those between successive frames determined prediction technique. system is particularly advantageous Human-Computer Interaction (HCI) that users achieve interactions both symbolic gestures direct manipulation with their own hands.