Online Anomaly Detection in Crowd Scenes via Structure Analysis

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Online Anomaly Detection in Crowd Scenes via Structure Analysis
	Yuan, Yuan1 ; Fang, Jianwu 1,2; Wang, Qi 3
刊名	ieee transactions on cybernetics
	2015-03-01
卷号	45 期号:3 页码:562-575
关键词	Anomaly detection computer vision machine learning object tracking structure analysis video analysis
英文摘要	abnormal behavior detection in crowd scenes is continuously a challenge in the field of computer vision. for tackling this problem, this paper starts from a novel structure modeling of crowd behavior. we first propose an informative structural context descriptor (scd) for describing the crowd individual, which originally introduces the potential energy function of particle's interforce in solid-state physics to intuitively conduct vision contextual cueing. for computing the crowd scd variation effectively, we then design a robust multi-object tracker to associate the targets in different frames, which employs the incremental analytical ability of the 3-d discrete cosine transform (dct). by online spatial-temporal analyzing the scd variation of the crowd, the abnormality is finally localized. our contribution mainly lies on three aspects: 1) the new exploration of abnormal detection from structure modeling where the motion difference between individuals is computed by a novel selective histogram of optical flow that makes the proposed method can deal with more kinds of anomalies; 2) the scd description that can effectively represent the relationship among the individuals; and 3) the 3-d dct multi-object tracker that can robustly associate the limited number of (instead of all) targets which makes the tracking analysis in high density crowd situation feasible. experimental results on several publicly available crowd video datasets verify the effectiveness of the proposed method.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence ; computer science, cybernetics
研究领域[WOS]	computer science
关键词[WOS]	behavior detection ; event detection ; saliency detection ; action recognition ; force model ; representation ; tracking ; motion ; localization ; attention
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000350146900018
公开日期	2015-07-28
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/24103]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt Imagery Anal & Learning, Xian 710119, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Northwestern Polytech Univ, Ctr Opt Imagery Anal & Learning, Xian 710072, Peoples R China
推荐引用方式 GB/T 7714	Yuan, Yuan,Fang, Jianwu,Wang, Qi. Online Anomaly Detection in Crowd Scenes via Structure Analysis[J]. ieee transactions on cybernetics,2015,45(3):562-575.
APA	Yuan, Yuan,Fang, Jianwu,&Wang, Qi.(2015).Online Anomaly Detection in Crowd Scenes via Structure Analysis.ieee transactions on cybernetics,45(3),562-575.
MLA	Yuan, Yuan,et al."Online Anomaly Detection in Crowd Scenes via Structure Analysis".ieee transactions on cybernetics 45.3(2015):562-575.