Mr. Yasuyuki Matsui Profile

Yasuyuki Matsui

at Chukyo Univ

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Proceedings Article | 5 October 2001 Paper

3D gesture recognition from serial range image

Yasuyuki Matsui, Takeo Miyasaka, Makoto Hirose, Kazuo Araki

Proceedings Volume 4572, (2001) https://doi.org/10.1117/12.444200

KEYWORDS: 3D acquisition, 3D image processing, Gesture recognition, 3D metrology, Motion models, Optical flow, 3D modeling, Optical tracking, Cameras, Target recognition

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In this research, the recognition of gesture in 3D space is examined by using serial range images obtained by a real-time 3D measurement system developed in our laboratory. Using this system, it is possible to obtain time sequences of range, intensity and color data for a moving object in real-time without assigning markers to the targets. At first, gestures are tracked in 2D space by calculating 2D flow vectors at each points using an ordinal optical flow estimation method, based on time sequences of the intensity data. Then, location of each point after 2D movement is detected on the x-y plane using thus obtained 2D flow vectors. Depth information of each point after movement is then obtained from the range data and 3D flow vectors are assigned to each point. Time sequences of thus obtained 3D flow vectors allow us to track the 3D movement of the target. So, based on time sequences of 3D flow vectors of the targets, it is possible to classify the movement of the targets using continuous DP matching technique. This tracking of 3D movement using time sequences of 3D flow vectors may be applicable for a robust gesture recognition system.

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