DocumentCode :
2641244
Title :
New method of background update for video-based vehicle detection
Author :
Zhiwei, He ; Jilin, Liu ; Peihong, Li
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2004
fDate :
3-6 Oct. 2004
Firstpage :
580
Lastpage :
584
Abstract :
Video-based vehicle detection is one of the most valuable techniques for the intelligentization of modern transportation system. The famous widely used video-based vehicle detection technique is the background subtraction method. The key problem of this method is how to compute and update the background effectively and efficiently. A new background generation method was proposed. The method utilized the Gaussian distribution to model each point of the background image. To deal with the sudden change of the brightness, the mean brightness of the regions with no moving objects in them was used to make compensation. Results showed that the proposed method could generate and update the background quickly and efficiently.
Keywords :
Gaussian distribution; brightness; object detection; road vehicles; traffic information systems; transportation; video signal processing; Gaussian distribution; background generation method; background image; background subtraction method; background update; brightness; intelligentization; transportation system; video based vehicle detection; Brightness; Computational modeling; Helium; Image motion analysis; Intelligent transportation systems; Intelligent vehicles; Optical filters; Road vehicles; Stereo vision; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
Type :
conf
DOI :
10.1109/ITSC.2004.1398965
Filename :
1398965
Link To Document :
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