基于视频的干线交通流检测系统的研究与实现

Research and Implementation of Main Traffic Flow Detecting System Based on Video

随着交通管理压力不断加大,智能交通的建设逐渐成为城市道路建设的重点,则其中干线交通流检测是智能交通中的重要组成部分。针对传统人工和感应线圈等方法的不足,设计了一种基于视频的干线交通流检测系统去实现智能化交通流信息的统计与分析,为智能交通提供数据支持。该系统采用OpenCV开源库处理视频图像数据,同时结合自适应背景学习、虚拟检测线圈、车辆跟踪和MFC等技术进行设计与实现。实验表明:所提出的系统具有一定的实际性和有效性。

This paper designs a kind of main traffic flow detection system based on video to realize intelligent traffic flow information statistics and analysis,which provide data for the intelligent transportation.Combined with background of adaptive learning,virtual detection coil,vehicle tracking and MFC technology,the system design and implement to deal with video image data by using OpenCV open-source library.