5 October 2001 3D gesture recognition from serial range image
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Proceedings Volume 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision; (2001); doi: 10.1117/12.444200
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States
Abstract
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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Yasuyuki Matsui, Takeo Miyasaka, Makoto Hirose, Kazuo Araki, "3D gesture recognition from serial range image", Proc. SPIE 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, (5 October 2001); doi: 10.1117/12.444200; https://doi.org/10.1117/12.444200
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KEYWORDS
3D acquisition

3D image processing

Gesture recognition

3D metrology

Motion models

Optical flow

3D modeling

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