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Joint abnormal blob detection and localization under complex scenes
Wang, Tian2; Lai, Keyu2; Li, Ce1,3; Snoussi, Hichem4
2015
会议日期August 20, 2015 - August 23, 2015
会议地点Fuzhou, China
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
卷号9225
DOI10.1007/978-3-319-22180-9_28
页码283-292
英文摘要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.
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者Springer Verlag
语种英语
ISSN号03029743
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/117821]  
专题兰州理工大学
作者单位1.College of Electrical and Information Engineering, Lanzhou University of Technology, No. 287, Langongping Road, Lanzhou, Gansu; 730050, China;
2.School of Automation Science and Electrical Engineering, Beihang University, Beijing; 100191, 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]. 见:. Fuzhou, China. August 20, 2015 - August 23, 2015.
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