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

Chil-Woo Lee; Hyun-Ju Lee; Sung Ho Yoon; Jung Hyun Kim

doi:10.1117/12.502950

23 June 2003 Gesture recognition in video image with combination of partial and global information

Chil-Woo Lee, Hyun-Ju Lee, Sung Ho Yoon, Jung Hyun Kim

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502950
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

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.

Citation Download Citation

Chil-Woo Lee, Hyun-Ju Lee, Sung Ho Yoon, and Jung Hyun Kim "Gesture recognition in video image with combination of partial and global information", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.502950

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