标题:The extraction and effective identification of human motion characteristics for video images
作者:Li, Dianmei ;Zhao, Hui ;Chang, Shuhui
通讯作者:Li, D
作者机构:[Li, Dianmei ;Zhao, Hui ] College of Information Science and Engineering, Shandong University, Jinan 250100, China;[Chang, Shuhui ] Department of Elec 更多
会议名称:2011 International Conference on Computer Science and Service System, CSSS 2011
会议日期:27 June 2011 through 29 June 2011
来源:2011 International Conference on Computer Science and Service System, CSSS 2011 - Proceedings
出版年:2011
页码:3697-3700
DOI:10.1109/CSSS.2011.5974745
关键词:feature fusion; Hu moment invariants; human motion characteristic; joint angles of limbs; the nearest neighbor fuzzy classifier
摘要:The identification of the body motion for video images with computer visual technology is analyzing and dealing with the video or sequence of images. It can detect the human motion target, extract the motion characteristics in order to understanding the movement and identifying the person. This paper has introduced a new algorithm for the extraction and effective identification of human motion characteristics for video images. The method fuses seven Hu moment invariants of the human body contour and the feature of limbs angles for motion information. Different features have different weights. Finally a nearest neighbor fuzzy classifier is used to classify subjects. This method can effectively solve the problem of a number of data and complex calculations. Experimental results show that the proposed algorithm has effective recognition performance. © 2011 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052304889&doi=10.1109%2fCSSS.2011.5974745&partnerID=40&md5=adde18d891bd6f8bf9233a2905fc6537
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