在这一部分，本文提出了一种改进的基于视频的车辆检测流程。
In this section, we present an improved video-based vehicle detection process.
在此基础上，对各种基于视频的车辆检测算法分别进行分析比较。
Then we compared several of video based vehicle detection algorithms in detail.
对基于视频的车辆检测中的背景差分法进行了研究，提出了一种新的背景模型构建算法。
Based on the research on the background subtraction used to detect vehicles on video sequence, a new algorithm for background model building is presented.
在此基础上，对各种基于视频的车辆检测算法分别进行了详细介绍，并给出了它们的性能比较。
Then we introduced several of video based vehicle detection algorithms in detail and compared their performance.
在基于视频图像方法的车辆检测系统中，兴趣区域的提取是至关重要的。
It is important to extract RIO(region of interest) in vehicle detection system based on video image.
针对静态摄像条件下视频序列图像，提出一种基于背景重建的序列图像车辆目标检测方法。
This paper presents a vehicle targets detection method in image sequence based on background reconstruction with static camera.
本文详细地研究了车辆目标的视频检测方法和基于虚拟线圈的交通流量检测系统。
Vehicle detection method based video and traffic flow detection system based fictitious loop are studied in details.
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.
在基于视频图像的交通监视系统中，由路边建筑、树木等物体引起的静态阴影和由运动物体如车辆引起的运动阴影，是导致车辆检测错误的一大主要因素。
Passive shadows resulted from roadside buildings or trees and active shadows caused by moving vehicles, are one of the factors that arise errors in video based vehicle detection.
本文主要包括的研究工作如下：1、基于视频序列的车辆检测。
The main contents of this paper are organized as follows: 1, Vehicle detection based on video sequence.
基于视频的交通流量统计系统通常包含车辆检测和车辆跟踪两部分。
The detection part aims to segment vehicles from the video sequence and the tracking part tracks each vehicle and counts.
针对夜晚视频目标检测中的车辆灯光干扰问题，提出一种基于支持向量机(SVM)的灯光干扰消除方法。
To solve the problem of vehicle light interference on nighttime object detection, a method of eliminating the light interference based on Support Vector Machine (SVM) is proposed in this paper.
影响基于视频检测的车型分类系统准确率的一个主要因素是采集的车辆外型参数的准确性。
Research shows that a major factor that influences vehicle classification system based on video accuracy rate is the accurate of the vehicle parameters.
近年来，基于视频图像的车辆检测跟踪技术已成为研究的重点和热点。
In recent years, the technology on detection and tracking based on video sequence has become the focal point.
针对高速公路上车辆违章超速行为，给出了一种基于虚拟视频检测线的车辆速度检测与违章超速行为判定的实用算法。
As to the peccant overspeed behavior of vehicles in expressway, this paper studies a detection and judgment arithmetic of peccant overspeed behavior based on virtual video detection lines.
针对高速公路上车辆违章超速行为，给出了一种基于虚拟视频检测线的车辆速度检测与违章超速行为判定的实用算法。
As to the peccant overspeed behavior of vehicles in expressway, this paper studies a detection and judgment arithmetic of peccant overspeed behavior based on virtual video detection lines.
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