Joint abnormal blob detection and localization under complex scenes

doi:10.1007/978-3-319-22180-9_28

	Joint abnormal blob detection and localization under complex scenes
	Wang, Tian 1; Lai, Keyu 1; Li, Ce 2,3; Snoussi, Hichem 4
	2015
会议名称	11th International Conference on Intelligent Computing, ICIC 2015
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷号	9225
页码	283-292
会议日期	August 20, 2015 - August 23, 2015
会议地点	Fuzhou, China
出版者	Springer Verlag
摘要	In this paper, an algorithm is proposed to detect the abnormal event in the form of rectangular blob in global images. Observing the status of the varying blobs, unusual behavior can be monitored and alarmed. A method extracting blobs from crowded video scenes is proposed, the covariance matrix descriptor fuses the image intensity and the optical flow to encode moving information and image characteristics of a blob. After characterizing normal behaviors of blobs or frames in a learning period, the nonlinear one-class SVM algorithm locates the abnormal blobs intra frame. The method is applied to detect abnormal events on several video surveillance datasets, and get promising results. © Springer International Publishing Switzerland 2015.
关键词	Computation theory Intelligent computing Security systems Support vector machines Abnormal blob localization Blob extraction Descriptors Image characteristics Moving informations One class-SVM Unusual behaviors Video surveillance
DOI	10.1007/978-3-319-22180-9_28
收录类别	EI
语种	英语
EI入藏号	20154201382023
EI主题词	Covariance matrix
ISSN	03029743
来源库	Compendex
分类代码	721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 914.1 Accidents and Accident Prevention - 921 Mathematics
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/117821
专题	兰州理工大学
作者单位	1.School of Automation Science and Electrical Engineering, Beihang University, Beijing; 100191, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, No. 287, Langongping Road, Lanzhou, Gansu; 730050, China; 3.The School of Electronic and Information Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, Shaanxi; 710049, China; 4.Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes; 10004, France
推荐引用方式 GB/T 7714	Wang, Tian,Lai, Keyu,Li, Ce,et al. Joint abnormal blob detection and localization under complex scenes[C]:Springer Verlag,2015:283-292.