Human action recognition based on hybrid features

被引：1

作者：

Zhong, Ju ^{[1
]}

Liu, Huawen ^{[2
]}

Lin, Chunli ^{[1
]}

机构：

[1] Univ Sci & Technol Liaoning, Sch Applicat Technol, Anshan, Peoples R China

[2] Anshan Iron & Steel Grp Corp, Seamless Pipes Plant, Anshan, Peoples R China

来源：

MECHATRONICS, ROBOTICS AND AUTOMATION, PTS 1-3 | 2013年 / 373-375卷

关键词：

human action recognition; shape feature; motion feature; hybrid feature;

D O I：

10.4028/www.scientific.net/AMM.373-375.1188

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The extraction methods of both the shape feature based on Fourier descriptors and the motion feature in time domain were introduced. These features were fused to get a hybrid feature which had higher distinguish ability. This combined representation was used for human action recognition. The experimental results show the proposed hybrid feature has efficient recognition performance in the Weizmann action database.

引用

页码：1188 / +

页数：2

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