计算机与数字工程2011，Vol.39Issue(5)：118-122,170,6.
一种基于图像处理的人群密度估计方法
Estimation of Crowd Density Using Image Processing
摘要
Abstract
Crowd density estimation in public scene surveillance is an important issue of public security. A method of crowd density estimation based on image processing is presented. The number of people and the level of crowd density are estimated qualitatively and quantitatively combining methods of pixel statistics and texture analysis. To resolve the people number estimation of full scene, this paper divides the large scene into some needed small cells based on the proportion to estimate the density. Experimental results show that this method is simple, effective and practical in application. It also could provide powerful help to the public warming system, such as in airport , subway and station.关键词
人群密度估计/背景减/纹理分析/灰度共生矩阵/支持向量机Key words
crowd density estimation/ background subtraction/ texture analysis/ GLDM/ SVM分类
信息技术与安全科学引用本文复制引用
刘福美,黎宁,张燕,张可..一种基于图像处理的人群密度估计方法[J].计算机与数字工程,2011,39(5):118-122,170,6.基金项目
民航基金项目(编号:E1002-071B)资助. （编号:E1002-071B）
