doi: 10.7763/IJCTE.2016.V8.1050
Subsequent Processing of Background Modeling for Traffic Surveillance System
, , ,
Synh Viet-Uyen Ha
- School of Computer Science Engineering, International University, Ho Chi Minh City, Vietnam.
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.
Keywords
- Background subtraction
- mixture of gaussian
- contour
- morphology
- quantitative performance
- surveillance system
How to 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. https://doi.org/10.7763/IJCTE.2016.V8.1050
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).