DocumentCode :
2463663
Title :
Vehicle Flow Detection Based on Machine Vision
Author :
Wen Zhen-hui ; Miao Chang-yun
Author_Institution :
Acad. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin Municipality, China
Volume :
3
fYear :
2010
fDate :
16-17 Dec. 2010
Firstpage :
70
Lastpage :
72
Abstract :
Vehicle flow detection is the key technology of intelligence traffic system. In order to overcome the shortcomings of traditional detection method which with low detection precision and is difficult to install and maintenance, a method, based on machine vision, which combines adjacent frame difference and background frame difference is proposed, besides, another method of vehicles count by vertical projection is also proposed. The simulation results show that the proposed vehicle detection algorithm not only can achieve high detection accuracy, but also is very simple and fast.
Keywords :
computer vision; object detection; traffic information systems; intelligence traffic system; machine vision; vehicle flow detection; vertical projection; Accuracy; Artificial intelligence; Machine vision; Roads; Streaming media; Vehicle detection; Vehicles; machine vision; vehicle detection; vertical projection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
Type :
conf
DOI :
10.1109/GCIS.2010.84
Filename :
5709325
Link To Document :
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