• Oct 26, 2018 News!Vol.10, No.5 has been published with online version.   [Click]
  • Aug 06, 2018 News!Vol.9, No.1-Vol.9, No.4 have been indexed by EI (Inspec).   [Click]
  • Sep 03, 2018 News!Vol.10, No.4 has been published with online version.   [Click]
General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2016 Vol.8(3): 235-239 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2016.V8.1050

Subsequent Processing of Background Modeling for Traffic Surveillance System

Duong Nguyen-Ngoc Tran, Tien Phuoc Nguyen, Tai Nhu Do, and Synh Viet-Uyen Ha
Abstract—The background model finds difficult to extract the good foreground if it is implemented in real-time, the change of light and weather that make the detected-foreground unclear, has countless noise. Therefore, to avoid that problem, the Mixture of Gaussian need subsequent processing step to make the foreground better. The paper proposes a method, degrades several drawbacks of Background Subtraction, which intended to be used in urban traffic scenes.

Index Terms—Background subtraction, mixture of gaussian, contour, morphology, quantitative performance, surveillance system.

The authors are with School of Computer Science Engineering, International University, Ho Chi Minh City, Vietnam (e-mail: hvusynh@hcmiu.edu.vn).

[PDF]

Cite:Duong Nguyen-Ngoc Tran, Tien Phuoc Nguyen, Tai Nhu Do, and Synh Viet-Uyen Ha, "Subsequent Processing of Background Modeling for Traffic Surveillance System," International Journal of Computer Theory and Engineering vol. 8, no. 3, pp. 235-239, 2016.

Copyright © 2008-2018. International Journal of Computer Theory and Engineering. All rights reserved.
E-mail: ijcte@iacsitp.com