The Traffic Volume Count Algorithm Based on Computer Vision

This paper proposes a vehicle detection and traffic volume statistics algorithm Based on an improved single Gaussian model. This algorithm contains three major sections, which are moving target detection, shadows suppression and traffic volume count. Firstly, with an improved background initialization method, the paper detects the moving target by using the single Gaussian model. Then, a computational method of Shadows suppression is presented in the RGB feature space. Finally, the traffic volume is counted in the virtual areas of lanes. Two experiments are performed on the algorithm. The results show that the algorithm can detect vehicle quickly and have a higher recognition rate. It can works well in the actual conditions.