Abnormal Crowd Motion Analysis

摘要：

Video surveillance in crowded areas is becoming more and more significant for public security. This paper presents a method for the detection of abnormality in crowded scenes based on the crowd motion characteristics. These characteristics includes the crowd kinetic energy and the motion directions. This approach estimates the crowd kinetic energy and the motion directions based on the optical flow techniques. The motion variation is derived from the crowd kinetic energy of two adjacent frames, and the motion direction variation is estimated using mutual information of the direction histograms of two neighboring motion vector fields. The proposed method combines crowd kinetic energy, motion variation and direction variation for the abnormality detection. The experiments on the video data which captured by ourselves demonstrate that our method can detect the abnormal behaviors effectively.

关键词： Crowd analysis video surveillance abnormal detection

作者: Tian Cao Xinyu Wu Jinnian Guo Shiqi Yu Yangsheng Xu

作者单位: Shenzhen Institute of Advanced Integration Technology Shenzhen Institute of Advanced Technology The Shenzhen Institute of Advanced Integration Technology Shenzhen Institute of Advanced Technology The

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1707-1714

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）