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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Real-Time Gesture Recognition Using 3D Motion History Model
verfasst von : Ho-Kuen Shin, Sang-Woong Lee, Seong-Whan Lee
Erschienen in: Advances in Intelligent Computing
Verlag: Springer Berlin Heidelberg
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In this paper, we present a novel method for real time gesture recognition with 3D Motion History Model (MHM). There are two difficult problems in gesture recognition: the camera view and the duration of gesture. First, we solved the camera view problem which is very difficult in the environment of single directional camera (e.g., monocular or stereo camera). Utilizing 3D-MHM with the disparity information, not only this problem is solved but also the reliability of recognition and the scalability of system are improved. Second, we proposed the dynamic history buffering (DHB) to solve the duration problem that comes from the variation of gesture velocity at every performing time. DHB improves the problem using magnitude of motion. We implemented a real-time system and performed gesture recognition experiments. The system using 3D-MHM achieves better results of recognition than using only 2D motion information.