Traffic Object Tracking Based on Increased-step Motion History Image

摘要：

A new image-based method for tracking moving vehicles is purposed using the layered step-down grey value silhouette of increased-step motion history image.Real-time tracking of moving vehicles appeared in the traffic scene can be achieved by segmentation and marking the motion silhouette regions in the increased-step motion history images.High quality segmentation is realized by improve the basic motion history image.Background of the traffic scene is subtracted from the traffic video frames.At last,experiments are done with crossroad traffic videos.Moving objects is segmented effectively.The results show that the method is robust against the disturbance of changeful environment,high detecting rate and fast real-time processing speed.

关键词： Increased-step motion history image Object tracking Step-down silhouette Background extraction

作者: Fan-feng Meng Zhen-shen Qu Qing-shuang Zeng Li Li

作者单位: Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin Heilongjiang 150001,China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）