An Approach for Lane Segmentation in Traffic Monitoring Systems

This paper describes an approach for lane segmentation in traffic monitoring systems based on road region and lane line information. Firstly, we use Gaussian background modeling algorithm to extract the motion regions and background image, then lane region can be acquired by region growing algorithm based on motion regions. The straight-lines about lane lines can be acquired by using Hough transform on the edge image of background. Finally we divide a road area into several lane regions by fusing the trajectories information of vehicles acquired by KLT method. The experiments in deferent scenes show the efficiency and robustness of the proposed approach.