基于视频图像的道路车流检测系统  

Detection system of road vehicle flow based on video image

作　　者：韩海玲[1] 焦红岩[1] 

机构地区：[1]兰州交通大学教育部重点实验室,甘肃兰州730070

出　　处：《电气传动自动化》2012年第6期48-51,共4页Electric Drive Automation

摘　　要：以静止单孔摄像机获取的交通场景视频作为研究对象,对高斯背景提取及自适应更新、车辆检测等技术进行了研究和分析,完成了一个基于视频图像的车流检测模型系统的设计,并通过Matlab仿真实现了基于高斯背景建模的车流检测及跟踪。Take a static traffic scene for apuekex camera video as the research object, the technologies of Gauss hackground extraction, self-adaptive update and vehicle detection are studied and analyzed. A system design of vehicle flow detection model based on video image is completed. The vehicle/low detection and vehicle tracking based on Gauss background modeling are realized by Matlab simulation.

关 键 词：车流检测 高斯背景 车辆跟踪 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]