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An Efficient Method of Crowd Aggregation Computation in Public Areas

文献类型：期刊论文

作者Lin, Nie2; Zhou, Bing3; Li, Chunxu3; Lv, Pei3; Hou, Rui1; Xu, Mingliang3
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
出版日期2018-10-01
卷号28期号:10页码:2814-2825
关键词Crowd movement global feature extraction collectiveness computation movement evolution abnormal detection
ISSN号1051-8215
DOI10.1109/TCSVT.2017.2731866
英文摘要The crowd stampede and terrorist attacks in public areas have now become more serious and dangerous threats due to the rapid increase in the population and scale of cities. Therefore, the analysis of crowd aggregation behavior has been a new research focus in the field of intelligent video surveillance. However, such public area scenes not only contain moving crowd but also contain other types of objects. The sizes of these objects are usually small, which make their appearances quite similar. Moreover, the individuals in a crowd move randomly and often occlude each other. All the above factors make the analysis of crowd aggregation very difficult. In this paper, the authors attempt to solve this problem in three aspects. First, a novel global feature is used to represent the moving crowd. This feature can well describe the spatial and the temporal motion information of points-of-interest. Second, a strategy is adopted to cluster the feature points first and then calculate the collectiveness. This makes the collectiveness computation of individual groups more consistent and effective. Finally, more comprehensive collective crowd descriptors are proposed to provide a detailed description of the crowd status. Based on the proposed descriptor, the authors realize the evolution analysis of the group movement and the crowd abnormal detection. The experiment results show that the proposed method is able to efficiently compute the crowd collectiveness in various public areas and provide a reliable reference for the public safety management.
资助项目National Natural Science Foundation of China[61379079] ; National Natural Science Foundation of China[61472370] ; National Natural Science Foundation of China[61502433] ; National Natural Science Foundation of China[61672469] ; China Postdoctoral Science Foundation[2015M582203] ; China Postdoctoral Science Foundation[2016T90680]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000448517900032
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/3644]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Lv, Pei
作者单位1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China
2.Sun Yat Sen Univ, Ctr Shared Expt Educ, Guangzhou 510275, Guangdong, Peoples R China
3.Zhengzhou Univ, Ctr Interdisciplinary Informat Sci Res, Zhengzhou 450000, Henan, Peoples R China
推荐引用方式
GB/T 7714		 Lin, Nie,Zhou, Bing,Li, Chunxu,et al. An Efficient Method of Crowd Aggregation Computation in Public Areas[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2018,28(10):2814-2825.
APA Lin, Nie,Zhou, Bing,Li, Chunxu,Lv, Pei,Hou, Rui,&Xu, Mingliang.(2018).An Efficient Method of Crowd Aggregation Computation in Public Areas.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,28(10),2814-2825.
MLA Lin, Nie,et al."An Efficient Method of Crowd Aggregation Computation in Public Areas".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 28.10(2018):2814-2825.

入库方式： OAI收割

来源：计算技术研究所

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