DocumentCode :
2780293
Title :
An effective way for moving object detection in traffic scenes
Author :
Wu, Meng ; Zhao, Yanyun ; Cai, Anni
Author_Institution :
Multimedia Commun. Center, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2009
fDate :
6-8 Nov. 2009
Firstpage :
736
Lastpage :
739
Abstract :
Freeway monitoring is one of the key elements in ITS (intelligent transportation system). Moving vehicle extraction is an important preprocessing step in freeway monitoring. It has great influence on the following steps, such as object tracking, classification and behavior analysis. This paper presents an effective method to extract moving objects. Our approach proved to be robust to sudden light changes in the traffic scenes.
Keywords :
object detection; traffic engineering computing; behavior analysis; freeway monitoring; intelligent transportation system; moving object detection; moving vehicle extraction; object classification; object tracking; traffic scenes; Histograms; Intelligent transportation systems; Layout; Monitoring; Multimedia communication; Object detection; Robustness; Telecommunication traffic; Traffic control; Vehicle detection; Moving vehicle detection; background subtraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4898-2
Electronic_ISBN :
978-1-4244-4900-6
Type :
conf
DOI :
10.1109/ICNIDC.2009.5360788
Filename :
5360788
Link To Document :
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