The moving object segmentation approach to vehicle extraction

In this study, we propose a moving object segmentation approach based on an efficient and real-time color background extraction. We use the statistical algorithm to obtain the color background and moving objects information efficiently. Then we perform the run-length algorithm to compensate the segmented objects and update the background real-time. The variation of the illuminative condition is also considered in our work. Several experimental results are illustrated to show the advantage of the proposed work on processing time and the segmented result.