标题:A New Approach of Crowd Density Estimation
作者:Li, Wei; Wu, Xiaojuan; Matsumoto, Koichi; Zhao, Hua-An
通讯作者:Li, W
作者机构:[Li, Wei; Wu, Xiaojuan] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Shandong, Peoples R China.; [Matsumoto, Koichi; Zhao, Hua-An] Kumamoto 更多
会议名称:IEEE Region 10 Conference on TENCON 2010
会议日期:NOV 21-24, 2010
来源:TENCON 2010: 2010 IEEE REGION 10 CONFERENCE
出版年:2010
页码:200-203
DOI:10.1109/TENCON.2010.5685978
摘要:Crowd density estimation is important in crowd analysis, this paper proposes a new approach used for crowd density estimation. First, background is removed by using a combination of optical flow and background subtract methods. Then according to texture analysis, a set of new feature is extracted from foreground image. Finally, a self-organizing map neural network is used for classifying different crowds. Some experimental results show compared to former crowd estimation methods, the proposed approach can carry out the estimation more accurately, the rate of true classification is 85.6% on a data set of 500 images.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:1
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-s2.0-79951635863&doi=10.1109%2fTENCON.2010.5685978&partnerID=40&md5=d3652c0bd1eec3c8ee357f1e3b232931
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