Exploiting temporal statistics for events analysis and understanding
Exploiting temporal statistics for events analysis and understanding
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DOI：
10.1016/j.imavis.2008.07.005
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发表时间：
2009-09-02
影响因子：
4.7
通讯作者：
Foresti, Gian Luca
中科院分区：
文献类型：
--
作者：
Micheloni, Christian;Snidaro, Lauro;Foresti, Gian Luca
在本文中，我们提出了一种技术，用于检测视频监控系统监控的室外区域的异常事件。特别是，重点是对象执行简单事件所花费的时间。为了具有执行某些活动通常所需的时间的统计表示，为每个事件类型维护高斯混合。然后，这些统计数据被用于分析简单的活动和发现异常情况，最终提醒操作员。为此，还讨论了一种新的可视化结果的方式。实验已经进行了多摄像机系统的停车场安全。(C)2008 Elsevier B.V.保留所有权利。
In this paper, we propose a technique for detecting anomalous events in outdoor areas monitored by a video surveillance system. In particular, the focus is on the time spent by an object to carry out simple events. To have a statistical representation of the time commonly required to perform certain activities, mixtures of Gaussians are maintained for each event type. Such statistics are then exploited both for the analysis of simple activities and for discovering anomalous situations, eventually alerting the operator. To this end, a novel way of visualizing results is also discussed. Experiments have been performed on a multi-camera system for parking lot security. (C) 2008 Elsevier B.V. All rights reserved.