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Proceedings Paper

Hand-gesture extraction and recognition from the video sequence acquired by a dynamic camera using condensation algorithm
Author(s): Dan Luo; Jun Ohya
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Paper Abstract

To achieve environments in which humans and mobile robots co-exist, technologies for recognizing hand gestures from the video sequence acquired by a dynamic camera could be useful for human-to-robot interface systems. Most of conventional hand gesture technologies deal with only still camera images. This paper proposes a very simple and stable method for extracting hand motion trajectories based on the Human-Following Local Coordinate System (HFLC System), which is obtained from the located human face and both hands. Then, we apply Condensation Algorithm to the extracted hand trajectories so that the hand motion is recognized. We demonstrate the effectiveness of the proposed method by conducting experiments on 35 kinds of sign language based hand gestures.

Paper Details

Date Published: 19 January 2009
PDF: 9 pages
Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 72520S (19 January 2009); doi: 10.1117/12.806108
Show Author Affiliations
Dan Luo, Waseda Univ. (Japan)
Jun Ohya, Waseda Univ. (Japan)


Published in SPIE Proceedings Vol. 7252:
Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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