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People counting using combined feature
Congwen Gao; Kaiqi Huang; Tieniu Tan
2011
会议名称2011 Third Chinese Conference on Intelligent Visual Surveillance
会议录名称Conference on Intelligent Visual Surveillance, 2011
页码81–84
会议日期2011
会议地点Beijing, China
摘要In this paper, we present a new people counting approach in visual surveillance scenes. The features adopted in previous methods are all extracted at pixel-level or based on local area, which are severely affected by factors such as occlusion. To cover the shortage, we introduce a new feature which describes a people crowd as a whole. Because pedestrian behaviors change when the degree of crowdedness varies, we can capture motion information to model a crowd and characterize the pedestrian behaviors based on statistic analysis. Afterwards we combine together the two kinds of features presented above as the final people counting feature. Experiments conducted in real world scenes demonstrate the superior effectiveness of the proposed method.
关键词Statistical Analysis   video Surveillance   combined Feature
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12698
专题智能感知与计算研究中心
通讯作者Kaiqi Huang
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Congwen Gao,Kaiqi Huang,Tieniu Tan. People counting using combined feature[C],2011:81–84.
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