DocumentCode :
3542098
Title :
Real-time detection algorithm for moving vehicles in dynamic traffic environment
Author :
Jinhui Lan ; Min Guo ; Xiaojie Liu ; Xinrong Sun ; Aibibu, Tuerniyazi ; Bin Ran
Author_Institution :
Dept. of Instrum. Sci. & Technol., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2013
fDate :
9-11 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
As the video detection technology has become a hot issue in the Intelligent Transportation System (ITS), detecting the moving vehicles accurately in real-time is one of the challenging problems. This paper describes a real-time method for segmenting moving vehicles in dynamic scenes. An adaptive background update algorithm based on three-frame difference is proposed. By this method, the background is updated according to the dynamic change of surrounding light and external events. Meanwhile, for acquiring an accurate and whole segmentation result, an adaptive threshold algorithm which could adapt to real-time changes of light in the traffic environment is proposed. Experimental results of several traffic scenes are provided, which demonstrate the real-time and dynamic update of the background, and the effective segmentation by the presented method. The proposed method can be utilized in the complicated transportation environment, which lays the foundation of the practical application of the video detection technology.
Keywords :
adaptive signal processing; automated highways; image motion analysis; image segmentation; object detection; real-time systems; video signal processing; ITS; adaptive background update algorithm; adaptive threshold algorithm; dynamic traffic environment; intelligent transportation system; moving vehicle detection; moving vehicle segmentation; real-time detection algorithm; three-frame difference; video detection technology; Detection algorithms; Heuristic algorithms; Image segmentation; Real-time systems; Streaming media; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electro/Information Technology (EIT), 2013 IEEE International Conference on
Conference_Location :
Rapid City, SD
ISSN :
2154-0357
Print_ISBN :
978-1-4673-5207-9
Type :
conf
DOI :
10.1109/EIT.2013.6632662
Filename :
6632662
Link To Document :
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