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基于SimpleFlow的人群场景异常运动方向区域的识别

Detect Areas of Abnormal Moving Direction in Crowd Scenes Based on SimpleFlow
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摘要 人群视频监控对公共安全越来越重要。人群的运动方向是人群视频中的重要信息。提出基于SimpleFlow和方向直方图检测人群视频场景中运动方向异常区域的方法。实验结果表明,该方法能很好地检测人群视频中运动方向异常的场景区域,从而为辅助智能视频监控和智能视频分析提供重要的信息。 Video surveillance in crowed areas is becoming more and more significant for pubic security. The motion direction of crowd in surveillance video is the very important information. Present a method for detecting areas of abnormal moving direction in crowd scenes based on SimpleFlow and direetion histograms. The result of experiment demonstrates that the method can detect areas of abnormal moving direction effectively. Consequently it provides the significant informa- tion to assist intelligent video surveillance and intelligent video analysis.
出处 《现代计算机》 2013年第4期16-18,共3页 Modern Computer
关键词 人群分析 异常检测 光流 方向直方图 Crowd Analysis Abnormal Detection Optical Flow Direction Histogram
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参考文献4

  • 1Video Available from http://www.gettyimages.cn/movmid/ 116331/one80:-Signature.
  • 2Michael Tao, Jiamin Bai, Pushmeet Kohli, Sylvain Paris. Sire pie Flow: A Non-iterative,Sublinear Optical Flow Algorithm[J]. Computer Graphics Forum (Eurographies 2012), Vol. 31, No. 2. (May 2012).
  • 3Tian Cao, Xinyu Wu,Jinnian Guo, Shiqi Yu,Yangsheng Xu: Abnormal Crowd Motion Analysis.[R] IEEE International Conference oil Robotics and Biomimetics (ROBIO2009).
  • 4Ramin Mehran Alexis Oyama and Mubarak Shah: Abnormal Crowd Behavior Detection using Social Force Model. [J]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2009 : 935-942.

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