DocumentCode :
3034633
Title :
A new algorithm of background image extraction and update in the vehicle detection system
Author :
Yang, Zhiqi
Author_Institution :
Dept. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
5238
Lastpage :
5241
Abstract :
To improve the rate of vehicle recognition, this article proposed a new improved Surendra background update algorithm, then accomplished the experiment comparison under the different environment with the traditional multi-frame image average background update algorithm. The experimental results indicated that the new improved Surendra background update algorithm has the obvious comprehensive superiority compared to the old algorithm, it can gain the accurate background image, and carry on the background image update effectively, then increases the rate of vehicle recognition.
Keywords :
feature extraction; image recognition; vehicles; Surendra background update algorithm; background image extraction; multiframe image; vehicle detection system; vehicle recognition; Algorithm design and analysis; Image recognition; Object recognition; Real time systems; Signal processing algorithms; Vehicle detection; Vehicles; background extraction; background update; vehicle detection; vehicle recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6002301
Filename :
6002301
Link To Document :
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