Dynamic Vehicle Detection Algorithm Based on Background Updating and Suppressing
In the vision-based traffic system for the moving vehicle detection, the accuracy of vehicle detection is heavily based on exact acquirement of the background, this paper presents a T-distribution background reconstruction algorithm of moving vehicle detection to obtain background pixels, that is, the background image which doesnt contain any moving objects is restored by integrating of several background images, and background image is reconstructed and updated constantly while the background is variational. Then the extract moving area is extracted by background suppression method in based on the RGB color space, and considering the environments change, the threshold of the threechannels noise variance of RGB image is added to the average value of the gray-levels change. The experimental results show that the background reconstructed can reflect the real background and extract the more integrated complete moving area comparing with the frame-difference method.
vehicle detection background reconstruction background suppression T-distribution detection algorithm
Li Peng Ma Hongmei Huang Chengyu Xu Bo
Department of Electrical Information Engineering North China Institute of Science and Technology Yan Department of Electrical Information Engineering Dalian Neusoft Institute of Information Dalian, Chi
国际会议
西安
英文
727-730
2010-08-07（万方平台首次上网日期，不代表论文的发表时间）