Classifying human body motions using gabor features

被引：0
|
作者：
Nakano, H [1 ]
Yoshida, Y [1 ]
机构：
[1] IBM Japan Ltd, Shiga 5202392, Japan
来源：
2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS | 2001年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The paper describes a method for classifying the motions of human bodies in all image sequence. First,, a set of templates is prepared in advance, which includes the spatio-temporal Gabor features of key motions. Next, processing is performed to obtain the Gabor features of all unknown motion. Correlation coefficients between the feature vectors of both the key motions and the unknown motions are then calculated by using dynamic programming (DP), and finally the unknown motion is classified as one of the key motions. This study also compares the effectiveness between Gabor features and principal component analysis (PCA) for sequences of postures. Experimental results using image sequences from a volleyball game show the effectiveness of the proposed method.
引用
收藏
页码：351 / 354
页数：4
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