一种基于视频虚拟检测线的交通流参数检测方法

实时交通流参数检测在智能交通系统中起着重要的作用。参数检测有多种方式,其中基于图像处理的视频车辆检测方式近年来发展很快,由于它具有检测区域大、系统设置灵活等突出的优点,已成为智能交通系统领域的一个研究热点。车辆的检测基于车道,在每个车道设置两条虚拟检测线来检测交通流参数,虚拟检测线的作用类似于电磁感应线圈。系统通过对视频虚拟检测线的预处理将二维的数字图像转化成一维的检测信号,减小了运算量,降低了运算负荷。提出的基于视频虚拟检测线特征的交通流参数检测系统已经在PC机上用VC 6.0实现,并对不同典型天气条件下的交通流视频进行了实验,实验结果表明该系统具有较高的车流量统计精度。

Video-based Traffic Flow Parameters Detection Method Using Virtual Line Analysis

The detection of real-time traffic flow parameters plays a critical role in the Intelligent Transportation System. There have been many methods for parameter detection, and the video-based vehicle detection system has de-veloped quickly in recently years. Since this approach works better in many ways, such as wider-area detection and easier system setting-up, it has become a hot area in Intelligent Transportation System. The vehicle detection is per-formed along lanes, on which two virtual lines are drawn to help detect traffic flow parameters like inductive loop sensors. The key idea of the system is to convert the 2-dimensional digital image to 1-dimensional detection signal by virtual detection line preprocessing, which reduces computation load. The video-based traffic flow parameters detection system using virtual lines has been implemented on a personal computer in a VC 6.0 environment. Traffic flow video files obtained under different weather conditions were experiment-ed, which results in a higher accuracy in traffic volume detection.