Title :
Vision-based Density Detection of Traffic Flow in Urban Intersection in the Daytime
Author :
Shi, Shengli ; Xu, Jianmin ; Qin, Zhong
Author_Institution :
Sch. of Traffic & Commun., South China Univ. of Technol., Guangzhou
Abstract :
In urban intersection of intelligent control system, detection of rows of vehicles is essential to the control algorithm, and density estimation method and vision-based detection algorithm are presented in this paper for sake of the limitation of using loop detectors method. Firstly, background segmentation and rebuilding is introduced and algorithm for vehicles segmentation in HSV color space is discussed. Then length and density of traffic flow are calculated. Finally, experimental results and analysis are included
Keywords :
image recognition; intelligent control; road traffic; road vehicles; traffic control; HSV color space; intelligent control system; traffic flow; vehicles segmentation; vision-based density detection; Cameras; Change detection algorithms; Communication system traffic control; Control systems; Detectors; Image edge detection; Intelligent control; Road vehicles; Traffic control; Vehicle detection;
Conference_Titel :
ITS Telecommunications Proceedings, 2006 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-9587-5
Electronic_ISBN :
0-7803-9587-5
DOI :
10.1109/ITST.2006.288830