A Traffic Congestion Estimation Approach from Video Using Time-Spatial Imagery

摘要：

This paper presents a novel approach to detect traffic congestion on roads in a natural open world scene observed from TV cameras placed on poles or buildings.In this system,a time-spatial imagery based algorithm is proposed to estimate the road status from the video.The experimental results on real road traffic congestion estimation show that the time-spatial method is robust in complex lighting and traffic environment.The detailed algorithm and the comparison results are given in the paper.

作者: Li Li Long Chen Xiaofei Huang Jian Huang

作者单位: Joint Lab for Intelligent Computing and Intelligent Systems,School of Electronic Information Wuhan University,Wuhan,Hubei 430079,P.R.China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）