Recognition of hand gesture based on Gaussian Mixture Model

被引：0
|
作者：
Jia, Jia [1 ]
Jiang, Jianmin [1 ]
Wang, Dong [1 ]
机构：
[1] Univ Bradford, Sch Informat, EIMC, Bradford BD7 1DP, W Yorkshire, England
来源：
2008 INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING | 2008年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents, a new method for gesture recognition of Human beings' hand. This method integrates the features of shape, color and orientation histograms, which are extracted from images, and estimate the comparability with all the different types of gestures by a proposed Expectation-Maximization algorithm in Gaussian Mixture Model. The classification results were presented based on the values of likelihood compared with all the types of pre-assigned images, and the performance of this approach in an experiment is shown that the proposed method works well.
引用
收藏
页码：337 / 340
页数：4
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