Anomaly detection in crowd scene via online learning
Yuan, Yuan; Ma, Dandan
2014
会议名称6th international conference on internet multimedia computing and service, icimcs 2014
会议日期2014-07-10
会议地点xiamen, china
页码158-162
中文摘要anomaly detection in crowd scene has attracted an increasing attention in video surveillance, but a precise detection still remains a challenge. this paper presents a novel online learning method to automatically detect abnormal behaviors in crowd scene. our focus is mainly on the deviation between the real motion and the predicted one. through on-line defining experts, analyzing their motions, and dynamically updating the learned model, anomaly can be identified by the final expert joint decision. the outputs are represented as the anomaly probability of an examined frame. compared with most of existing methods, the proposed one needs neither tracking each individual straight to the end nor requires any complex training procedure. we test the proposed method on public datasets, and the results show its effectiveness. copyright 2014 acm.
收录类别EI
合作状况国内
产权排序1
会议主办者national natural foundation of china; sigmm china chapter; xiamen university
会议录icimcs 2014 - proceedings of the 6th international conference on internet multimedia computing and service
会议录出版者association for computing machinery
语种英语
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/22640]  
专题西安光学精密机械研究所_光学影像学习与分析中心
推荐引用方式
GB/T 7714
Yuan, Yuan,Ma, Dandan. Anomaly detection in crowd scene via online learning[C]. 见:6th international conference on internet multimedia computing and service, icimcs 2014. xiamen, china. 2014-07-10.
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