为了更好进行运动车辆检测，遮挡检测成为一个必不可少的环节。
In order to get the moving vehicle detection, vehicle occlusion detection is as an essential link.
运动车辆检测是智能交通领域应用研究中关键的一环，是获得交通信息的基础和保证。
It is the most important part to extract moving vehicles in application of intelligent transportation field, which is the basis and guarantee to obtain traffic information.
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.
利用现代谱估计的算法，在DSP芯片中对检测车辆雷达运动产生的多普勒频率进行频谱分析。
With modern spectral estimation algorithm, spectrum analysis on Doppler frequency caused by vehicles radar movement is carried out in DSP chip.
运动目标的检测在智能交通监控、车辆导航、辅助驾驭、高速公路上的自动收费等都有广泛的应用。
Motion object detection is widely used in the areas of smart traffic monitoring, vehicle navigation, assistant driving and automatic toll collection on freeways.
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.
算法主要包括图像的预处理，车辆的运动检测和基于光流场的行为分析。
The algorithm is mainly composed of image preprocessing, the vehicle motion detection and behavior analysis based on optical flow.
实验结果表明，该方法计算量小，能够满足实时系统的要求，可有效地检测运动车辆。
The experimental results show that the method needs little calculation, and can satisfy the requirement of the real-time system and detect moving vehicles effectively.
运动车辆的正确检测是车辆跟踪的前提，是车辆运动分析的一个重点和难点。
Motion vehicle detection is the precondition of vehicle tracking, it is very important but a difficult problem of vehicle motion analysis.
通过检测道路上的运动目标并利用目标的运动信息和外形特征进行车辆识别。
Firstly, moving objects on the roadway are detected. Then, the vehicles are recognized based on their motion information and shape characteristics.
将边缘检测法与改进帧差法进行有机结合，有效地实现了运动和静止车辆的同时检测。
It combines organically the edge detection method and the improved frame difference method to effectively detect the moving and stagnant vehicles simultaneously.
它是集运动车辆视频检测、车牌识别等技术于一体的智能化车辆检测系统。
It is an intelligent system that include many techniques, such as video vehicle detection, license plate recognition.
通过运动区域检测、噪声去除、连通单元标记、目标提取、阴影检测等处理，能获取完整的车辆目标区域。
By the process of moving area detection, yawp elimination, object detection based on connected region label, shadow elimination, the whole vehicle targets area is obtained.
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.
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.
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.
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.
通过分析阴影的物理模型，得出局部纹理的光照不变性，利用基于比值判决的LBP纹理法来区分运动车辆和阴影，并应用亮度约束和几何启发式准则进一步改善阴影检测效果。
The distribution of improved LBP texture is discussed and a significant test is performed to classify each moving pixel into foreground object or moving shadow according to this theory.
该文介绍的这一方法采用了动态目标区域检测的技术来追踪运动车辆，所谓动态目标区域检测就是指被检测区域是动态更新的，是随着被检测对象位置的变化而改变的。
The approach proposed by the writer adopts the technique of dynamic target region detection. Its core is that the region to be detected is dynamic and is changing with the target's change.
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.
然后介绍了介绍交通场景中运动车辆信息的获取方法，包括摄像机标定、车辆检测和定位、车辆跟踪方法。
Then it describes the method of getting information of moving cars from the real traffic scenes, including camera calibration, vehicle detection and location, vehicle tracking method.
考虑到视频序列图像具有帧间连续性，本文通过帧间差分的方法检测运动车辆。
According to continuity of gray-value of targets in inter-frame, the frame-difference method is proposed to detect the moving objects in this paper.
该检测器已广泛用于北京市智能运输系统中，实践表明对运动车辆的速度和流量的检测准确率高达95%。
The vehicle detectors have been applied in the Beijing intelligent traffic system, the detecting precision of velocity and flow rate is up to 95%.
该检测器已广泛用于北京市智能运输系统中，实践表明对运动车辆的速度和流量的检测准确率高达95%。
The vehicle detectors have been applied in the Beijing intelligent traffic system, the detecting precision of velocity and flow rate is up to 95%.
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