本文的研究内容是基于单个摄像机的车辆检测与跟踪，主要是对本车前方的运动车辆进行检测和跟踪。
The research content of this paper is vehicle detection and tracking based on a single camera. It is mainly to detect and track front vehicles.
本文详细描述了基于视频技术的车辆检测与跟踪，分析并研究了车辆超速、超车等交通事件，提出相应的具体检测方法并给出实验结果。
Several methods based on vehicle detecting and tracking, which are used to detect traffic incidents such as over-speed, have been described in detail in this thesis.
由于现在运动车辆的检测与跟踪技术还不够成熟，所以需要不断的研究而加以改善。
Now the technology of the detection and tracking of moving vehicles is not mature, so we need to do research and improve the performance.
运动车辆的检测与跟踪是现代智能交通系统的重要组成部分。
The moving vehicle detection and tracking are important part of modern Intelligent Transportation System.
提出了一种基于模糊聚类和卡尔曼滤波的多运动目标检测的技术，并将其应用于车辆的检测与跟踪。
A kind of technique for detection of multiple moving objects based on fussy clustering and Kalman filtering was brought forward, and has been applied to vehicle detection and tracking.
交通检测与信息采集已经成为智能交通系统中的一项重要课题，车辆的检测、阴影去除、车辆识别与跟踪则是其中最基础的部分。
Traffic detection and information collection has become an important subject in ITS, and vehicle detection, shadow elimination, vehicle recognition and tracking are the basic parts.
智能交通系统中的交通检测与信息采集已经成为计算机视觉技术应用的一项重要课题，而运动车辆的自动检测、阴影去除、识别与跟踪则是其中最基础的部分。
The application of computer vision technology to traffic detecting and information collecting is an important subject in ITS, and moving vehicle detecting, recognition and tracking is the basic part.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
将动态背景生成技术应用于运动车辆的检测与跟踪，构建了一个运动车辆跟踪算法。
A moving vehicle tracking algorithm was constructed by using the dynamic background generation technology.
将动态背景生成技术应用于运动车辆的检测与跟踪，构建了一个运动车辆跟踪算法。
A moving vehicle tracking algorithm was constructed by using the dynamic background generation technology.
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