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.
出处
《电气传动自动化》
2012年第6期48-51,共4页
Electric Drive Automation
关键词
车流检测
高斯背景
车辆跟踪
vehicle flow detection
Gauss background
vehicle tracking
