文章基本信息

标题：An Approach for Crowd Density and Crowd Size Estimation
本地全文：下载
作者：Jiang, Ming ; Huang, Jingcheng ; Wang, Xingqi 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2014
卷号：9
期号：3
页码：757-762
DOI：10.4304/jsw.9.3.757-762
语种：English
出版社：Academy Publisher
摘要：Crowd density estimation is very important in intelligent crowd monitoring. In this paper, a new approach of crowed density estimation is proposed. This method combines the advantage of pixel statistical feature and texture analysis, and reduces the impact of perspective distortion by dividing the region of interest. Moreover, we estimate the crowd size (the range of numbers) for high density and extremely high density crowd. The experiment results show that the proposed method has a relatively high accuracy in the whole density range.
关键词：Region of interest;Crowd density estimation;Crowd size estimation;Pixel statistical;GLCM