Traffic Flow Detection Algorithm Based on Gaussian Mixture Background Modeling

Abstract

This paper aims to solve the problem of traffic flow detection through video analysis. To tackle with this problem, we propose a novel traffic flow detection algorithm based on Gaussian Mixture Background Modeling which mainly utilizes the advantages of two existing traffic flow detection methods combined with some other technologies, such as improved canny edge detection algorithm, Gaussian Mixture Background Modeling method and background difference techniques. Extensive experiments and comparative studies show the superiority of our traffic flow detection algorithm in real time performance and accuracy.