DocumentCode :
2581437
Title :
The Solution to Background Segmentation and Extraction in Traffic Video Detection
Author :
Xu, Zewei ; Qiu, Qizhi ; Wang, Lu
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear :
2012
fDate :
19-22 Oct. 2012
Firstpage :
392
Lastpage :
395
Abstract :
This paper proposes a solution to the background segmentation and extraction in traffic video detection system. Weighted average method, Bimodal method and Median filter are employed to preprocess the video in the proposed solution. The preprocessing provides the satisfied precondition for the backgroud extraction. Furthermore, Gaussian Mixture Model is applied to extract the background from the grayscale image. The experiment results show the validity and the practicality of the solution. Its achievement will lay the foundation for the further work, such as extracting moving vehicle.
Keywords :
Gaussian processes; feature extraction; filtering theory; image segmentation; median filters; traffic engineering computing; video signal processing; Gaussian mixture model; background extraction; background segmentation; bimodal method; grayscale image; median filter; moving vehicle extraction; traffic video detection system; weighted average method; Educational institutions; Filtering; Gray-scale; Image segmentation; Vehicles; Gaussian Mixture Model; background segmentation; grayscale image; video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
Type :
conf
DOI :
10.1109/DCABES.2012.85
Filename :
6385315
Link To Document :
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