期刊文献+

基于视频区域特征的行人异常行为检测 被引量:5

Pedestrian abnormal behavior detection based on region feature
在线阅读 下载PDF
导出
摘要 从区域特征分析的角度检测行人的异常行为,先进行背景建模,然后通过运动目标检测,得到运动目标区域信息,采用最小外接矩形框作为区域特征,最后计算该矩形长宽比并进行曲线拟合、预测,进而完成异常行为检测。实验结果显示,该方法简单、快速。 Abnormality of pedestrian was detected based on region feature in this paper. The principle of the method is simple but effective. Firstly, moving object was detected with mixture of Gaussians background model and the minimal rectangle of the object whose ratio of height to width was taken as the feature to measure abnormality of the pedestrian. Experiments demonstrate the approach proposed is fast and effective.
出处 《计算机应用》 CSCD 北大核心 2007年第10期2610-2611,2614,共3页 journal of Computer Applications
关键词 视频监控 区域特征 异常行为 video surveillance region feature abnormal behavior
  • 相关文献

参考文献8

  • 1LI Y,XU C J,LIU J Z.Detecting Irregularity in Videos Using Kernel Estimation and K-D Trees[C]// Proceedings of the 14th annual ACM international conference on Multimedia.New York:ACM Press,2006:639-642.
  • 2ZHOU H,KIMBER D.Unusual Event Detection via Multi-camera Video Mining[C]// Proceedings of the 18th International Conference on Pattern Recognition-Volume 03.Washington,DC:IEEE Computer Society,2006:1161-1166.
  • 3ZHANG D,DANIEL G P,BENGIO S,et al.Semi-supervised Adapted HMMs for Unusual Event Detection[C]// Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)-Volume 1-Volume 01.Washington,DC:IEEE Computer Society,2005:611-618.
  • 4WU X Y,OU Y S,QIAN H H,et al.A detection system for human Abnormal behavior[J].IEEE International Conference on Intelligent Robots and Systems,2005:1204-1208.
  • 5RAO S,SASTRY P S.Abnormal activity Detection in video sequences using learnt probability densities[J].Conference on Convergent Technologies for Asia Pacific Region,2003,1:369-372.
  • 6BOIMAN O,IRANI M.Detecting irregularities in images and in video[J].International Journal of Computer Vision,2005,74(1):17-31.
  • 7XIANG T,GONG S C.Online Video Behaviour Abnormality Detection Using Reliability Measure[C]// Proceedings of British Machine Vision Conference (BMVC).U.K:Oxford,2005:669-678.
  • 8ZHONG H,SHI J B.Detecting unusual activity in video[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Los Alamitos:IEEE Computer Society Press,2004:819-826.

同被引文献49

引证文献5

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部