视频分析在交通控制中的应用

Application of video analysis in traffic control

提出了一种在一系列连续视频图像中提取背景像素的方法.在背景提取的基础上,采用灰度图像的帧间差分法和背景均值法,再运用虚拟检测线法对视频图像中运动物体进行检测.在合理的假设条件下,对所划检测线上的灰度像素矩阵进行运算,通过计量的数据,运用数学和物理方法,可以得出车辆的外形,即分为大、中、小型车,车辆的行驶速度以及其他一些重要的数据.

Presents a method of extracting the background pixels in a series of video images. On the basis of background extraction, the inter-frame difference method, background mean method of the gray image and the virtual detection line method were used to detect the moving targets in video images. Under reasonable conditions, calculates the gray pixel matrix on the designated detection line, by means of metered data and using mathematical and physical methods, the outline of vehicles is obtained, which is divided into large, medium and small sized vehicles, at the same time the speed of the vehicles and other important data are obtained.