Real-time people counting for indoor scenes

doi:10.1016/j.sigpro.2015.10.036

	Real-time people counting for indoor scenes
	Luo, Jun 1,2; Wang, Jinqiao2 ; Xu, Huazhong 1; Lu, Hanqing2
发表期刊	SIGNAL PROCESSING
	2016-07-01
卷号	124 期号:无页码: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
DOI	10.1016/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：20[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	紫东太初大模型研究中心_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
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	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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