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

Author

Li, Li ; Chen, Long ; Huang, Xiaofei ; Huang, Jian

Author_Institution

Sch. of Electron. Inf., Wuhan Univ., Wuhan

fYear

2008

fDate

1-3 Nov. 2008

Firstpage

465

Lastpage

469

Abstract

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.

Keywords

road traffic; traffic engineering computing; video signal processing; TV cameras; natural open world scene; road status; time-spatial imagery; traffic congestion detection; traffic congestion estimation; video signal processing; Cameras; Character generation; Communication system traffic control; Intelligent networks; Intelligent systems; Road vehicles; Robustness; Surveillance; Traffic control; Vehicle detection; Canny edge detection; Hough line detection; time-spatial image; traffic congestion estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3391-9

Electronic_ISBN

978-0-7695-3391-9

Type

conf

DOI

10.1109/ICINIS.2008.182

Filename

4683265