基于团块分析的人数统计(英文)  

People counting based on the analysis of the mass

作　　者：李涛[1,2] 李冬梅[2] 黄仁杰[1] 赵雪专[3] 

机构地区：[1]电子科技大学计算机科学与工程学院,四川成都611731 [2]河南广播电视大学信息工程系,河南郑州450008 [3]中国科学院成都计算机应用研究所,四川成都610041

出　　处：《安徽大学学报（自然科学版）》2015年第4期57-66,共10页Journal of Anhui University(Natural Science Edition)

基　　金：Supported by the Key Scientific and Technological Project of Henan Province(142102210010);the Key Research Project in Science and Technology of the Education Department of Henan Province(14A520028,14A520052);the Ph.D.Programs Foundation of the Ministry of Education of China(YBXSZC20131031)

摘　　要：为了提高视频监控领域人数统计的准确性,提出一种基于团块分析的人数统计方法.首先通过光流算法获取前景团块的方向及能量强度信息,并结合团块大小等相关信息形成团块特征;然后针对人数统计提出一种新的目标跟踪算法;最后基于SVM对该团块特征进行训练分析,得到人数估计模型.实验结果表明,该方法正确率达到95%以上,能准确实现人数统计.In order to improve the accuracy of people counting in video surveillance, the method for people counting based on the analysis of the mass was proposed. Firstly, the direction and the energy intensity information of the foreground mass were obtained, and combined with the size of foreground mass to form the feature of mass. Then, the novel method of objects tracking was designed specially to aim at people counting. Finally, the people counting model was obtained by （raining a support vector machine （SVM） classifier with the input of the feature of mass. The experimental results showed that the accuracy of the counting was over 95%, which confirms the method could accomplish people counting accurately.

关 键 词：光流算法 人数统计 目标跟踪 支持向量机 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]