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