摘要
该算法通过滤波、图像差分、图像逻辑运算得到运动物体,再运用数学形态学的方法去除过于细节的图像信息,恢复图像中部分被去掉的像素点,得到车辆的轮廓。最后在此基础上计算出车辆轮廓的最小外接矩形,得到车辆的质心,实现跟踪并根据图像信息中已知的车身长度来估计速度。实验结果表明,在既没有对摄像机进行直接控制,也没有在场景中放置标度物体的前提下,算法具有一定的有效性与准确性。
This algorithm extracts moving vehicles using median filter, frame differencing and image Boolean calculation, resumes part of losing pixels using mathematical morphology, calculates the centroids of vehicles by obtaining the minimum exterior rectangle of the moving edges, processes the resulting edge information to obtain quantitative geometric measurements of vehicles. The remits presented demonstrate the validity of this algorithm which requires neither direct camera control nor placement of a calibration object in environment.
出处
《计算机技术与发展》
2008年第6期111-114,118,共5页
Computer Technology and Development
基金
安徽省科研"资助计划"项目(2006jql211)
关键词
智能交通
数字图像处理
车辆跟踪
intelligent transportation
digital image processing
vehicle tracking
