Real-time people counting for indoor scenes
Luo, Jun1,2; Wang, Jinqiao2; Xu, Huazhong1; Lu, Hanqing2
2016-07-01
发表期刊SIGNAL PROCESSING
卷号124期号:页码:27-35
文章类型Article
摘要People counting in indoor environment is a challenging task due to the coexistence of moving crowds with stationary crowds, recurrent occlusions and complex background information. The performance of existing crowd counting methods drops significantly "for indoor scene since the stationary people are missed due to moving foreground segmentation and the counting results are often disturbed by occlusions. To address the above problems, in this paper we propose a counting approach for indoor scenes, which can count not only moving crowds but also stationary crowds efficiently. Firstly, a foreground extraction assisted by detection is introduced for crowd segmentation and noise removal with a feedback update scheme. Then we build a multi-view head-shoulder model for people matching in the foreground and estimate the number of people with an improved K-mean clustering approach. Finally, to reduce the disturbance of occlusions, we present a temporal filter with frame-difference to further refine the counting results. To evaluate the performance of the proposed approach, a new indoor counting dataset including about 570,000 frames was collected from four different scenarios. Experiments and comparisons show the superiority of the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.
关键词People Counting Head-shoulder Matching K-means Clustering
WOS标题词Science & Technology ; Technology
DOI10.1016/j.sigpro.2015.10.036
关键词[WOS]MULTILABEL IMAGE CLASSIFICATION
收录类别SCI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000373538100004
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11071
专题模式识别国家重点实验室_图像与视频分析
通讯作者Wang, Jinqiao
作者单位1.Wuhan Univ Technol, Sch Automat, Wuhan 430070, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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Luo, Jun,Wang, Jinqiao,Xu, Huazhong,et al. Real-time people counting for indoor scenes[J]. SIGNAL PROCESSING,2016,124(无):27-35.
APA Luo, Jun,Wang, Jinqiao,Xu, Huazhong,&Lu, Hanqing.(2016).Real-time people counting for indoor scenes.SIGNAL PROCESSING,124(无),27-35.
MLA Luo, Jun,et al."Real-time people counting for indoor scenes".SIGNAL PROCESSING 124.无(2016):27-35.
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