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.
