Title :
A reliable counting vehicles method in traffic flow monitoring
Author :
Song Junfang ; Bai ANing ; Xue Ru
Author_Institution :
Sch. of Inf. Eng., Tibet Nat. Inst., Xianyang, China
Abstract :
Number of vehicles passing by in a period of time on the highway is a powerful index to measure current traffic situation, it signifies on traffic control. Video-based method is used commonly in vehicles statistics, it identifies and counts vehicles in image sequences taken from a static camera. In this paper, we present a novel method for identifying and counting vehicles. This method firstly segments regions of moving object, then deals with this result to determine whether it is a full vehicle and finally counts vehicle by a simple formula. The experiment result shows that the proposed method could count vehicles accurately in the scene of traffic flow monitoring .
Keywords :
image segmentation; image sequences; road traffic; road vehicles; traffic control; traffic engineering computing; video signal processing; image sequences; moving object region segmentation; reliable counting vehicles method; static camera; traffic control; traffic flow monitoring; vehicle identification; vehicles statistics; video-based method; Accuracy; Computer vision; Educational institutions; Image motion analysis; Monitoring; Silicon compounds; Vehicles; moving target detection; vehicle identification; vehicle statistics;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6099921