DocumentCode :
2131220
Title :
Study of Fast Video Discrimination System of Vehicles under Complicated Road Environment
Author :
Yin Guofu
Author_Institution :
Dept. of Comput. Sci., Weinan Teachers Univ., Weinan, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
A fast video discrimination system of movable vehicles on the basis of WLAN wireless local network was established. The wireless network terminal around was connected through AP to form a star-shaped net structure such that live video frequency could be observed at terminals of the entire wireless net. Defects of difficult expansion, uneasy set-up and maintenance of the system by using a wire supervising system that can not be moved were avoided, which brought about great convenience for supervision at remote areas or under complicated road environment. Meanwhile, Boosting algorithm was applied in the detection of movable vehicle images. Stimulation experiment shows that the traditional recognition way of vehicle types was changed and the identification detection capability on the movable vehicles was improved greatly, which played an important role in the development of intelligent transportation systems.
Keywords :
traffic engineering computing; video signal processing; wireless LAN; WLAN; boosting algorithm; complicated road environment; fast video discrimination system; live video frequency; wire supervising system; wireless local network; Cameras; Communication system traffic control; Communications technology; Intelligent sensors; Intelligent transportation systems; Road safety; Road vehicles; Traffic control; Vehicle detection; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5303196
Filename :
5303196
Link To Document :
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