本文的视觉识别算法分为两个部分：结构化道路的检测与识别和目标车辆的检测与识别。
The algorithm in the paper is composed of two parts: detection algorithm of structural road and detection algorithm of target car.
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.
车辆检测与车型识别是智能交通系统（ITS）中的重要组成部分。
Robust and reliable vehicle detection and vehicle classification are important issues with applications to Intelligent Transportation Systems (ITS).
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.
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.
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