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Proceedings Paper

Gesture recognition in video image with combination of partial and global information
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Paper Abstract

In this paper, we describe an algorithm which can automatically recognize human gesture in a sequence of natural video image by utilizing two dimensional features extracted from bodily region of the images. In the algorithm, we first construct a gesture model space by analyzing the statistical information of sample images with principle component analysis method. And then, input images are compared to the model and individually symbolized to one part of the model space. In the last step, the symbolized images are recognized with HMM as one of model gestures. The feature of our method is to use a combination of partial and global information of two-dimensional abstract bodily motion, consequently it is very convenient to apply to real world situation and the recognition results are very robust.

Paper Details

Date Published: 23 June 2003
PDF: 9 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502950
Show Author Affiliations
Chil-Woo Lee, Chonnam National Univ. (South Korea)
Hyun-Ju Lee, Chonnam National Univ. (South Korea)
Sung Ho Yoon, North Carolina Agricultural and Technical State Univ (United States)
Jung Hyun Kim, North Carolina Agricultural and Technical State Univ. (United States)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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