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A system for learning statistical motion patterns
文献类型：期刊论文
| 作者 | Hu, Weiming ; Xiao, Xuejuan; Fu, Zhouyu; Xie, Dan; Tan, Tieniu; Maybank, Steve
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| 刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 |
| 出版日期 | 2006-09-01 |
| 卷号 | 28期号:9页码:1450-1464 |
| 关键词 | tracking multiple objects learning statistical motion patterns anomaly detection behavior understanding |
| 英文摘要 | Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, where objects move in predefined ways. It is highly desirable to automatically construct object motion patterns which reflect the knowledge of the scene. In this paper, we present a system for automatically learning motion patterns for anomaly detection and behavior prediction based on a proposed algorithm for robustly tracking multiple objects. In the tracking algorithm, foreground pixels are clustered using a fast accurate fuzzy K-means algorithm. Growing and prediction of the cluster centroids of foreground pixels ensure that each cluster centroid is associated with a moving object in the scene. In the algorithm for learning motion patterns, trajectories are clustered hierarchically using spatial and temporal information and then each motion pattern is represented with a chain of Gaussian distributions. Based on the learned statistical motion patterns, statistical methods are used to detect anomalies and predict behaviors. Our system is tested using image sequences acquired, respectively, from a crowded real traffic scene and a model traffic scene. Experimental results show the robustness of the tracking algorithm, the efficiency of the algorithm for learning motion patterns, and the encouraging performance of algorithms for anomaly detection and behavior prediction. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | VISUAL SURVEILLANCE ; RECOGNITION ; TRACKING ; VIDEO ; BEHAVIOR ; GESTURE ; PEOPLE ; TRAJECTORIES ; REDUCTION ; MODELS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000238950800008 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9372]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Univ London Birkbeck Coll, Sch Comp Sci & Informat Syst, London WC1E 7HX, England |
| 推荐引用方式 GB/T 7714 | Hu, Weiming,Xiao, Xuejuan,Fu, Zhouyu,et al. A system for learning statistical motion patterns[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2006,28(9):1450-1464. |
| APA | Hu, Weiming,Xiao, Xuejuan,Fu, Zhouyu,Xie, Dan,Tan, Tieniu,&Maybank, Steve.(2006).A system for learning statistical motion patterns.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,28(9),1450-1464. |
| MLA | Hu, Weiming,et al."A system for learning statistical motion patterns".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 28.9(2006):1450-1464. |
入库方式： OAI收割
来源：自动化研究所
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