热门
Online Anomaly Detection in Crowd Scenes via Structure Analysis
文献类型：期刊论文
| 作者 | Yuan, Yuan1 ; Fang, Jianwu1,2; Wang, Qi3
|
| 刊名 | ieee transactions on cybernetics
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。