运动车辆跟踪。
提出一种基于改进OTSU方法的运动车辆分割算法。
This paper proposes a moving car segmentation method based on improved OTSU method.
本文基于运动车辆产生的声频信号来进行车型识别的研究。
Based on the acoustic signal generated by moving vehicles, this article spread a research on vehicle recognition.
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.
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.
运动车辆的跟踪技术已成为目前计算机视觉研究的一个焦点问题。
Moving vehicle tracking is one focus problem in the domain of computer vision.
这个应用程序提供了一个选择的高端汽车市场上可用的运动车辆类别。
This application offers a selection of high-end vehicles available on the market in the sports vehicles category.
讨论了在摄像机固定情况下和在摄像机运动情况下运动车辆的跟踪问题。
The moving vehicle tracking problem is discussed at two conditions: the camera is still and the camera is moving.
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.
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.
实验结果表明，该方法能够快速、准确地在动态视频中分割出运动车辆和阴影。
The experiments show that this method can segment the moving vehicles and removal shadow rapidly and accurately from the video.
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.
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.
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.
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.
本程序主要采取结构体进行编程，对帧中运动车辆进行跟踪，一个车一个标号，标号自增1。
The main structure of this program is programmed to take on the frame to track moving vehicles, a car of a label, label increment 1.
第三，着重研究了运动车辆跟踪方法，通过建立目标运动状态参数矩阵来辨识目标的遮挡问题。
Thirdly, we put emphasis on the research of moving vehicle tracking method; by building up the matrix of moving status of target we can solve the problem of occupation.
基于运动车辆与不平整路面的相互耦合作用，建立车辆动力作用下沥青路面车辙计算与预估方法。
Based on the coupling of vehicle dynamic loading and the pavement surface unevenness, a calculation method is formulated for prediction of highway asphalt pavement rutting under dynamic loading.
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.
凭借其动力是相协调的设计完美的运动车辆特征-方向盘，换档把手和中控台都放在专用碳皮革光学。
With its dynamical design it harmonizes perfectly with the sporty vehicle character - steering wheel, gear shift knob and centre console are kept in exclusive carbon-leather optics.
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.
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%.
根据夜间运动车辆识别中存在的无法提取有效的车辆特征，提出了一种改进后的模糊约束满足的夜间运动车辆分类方法。
According to vehicle characteristics can not be extracted at night, a vehicle classification method based on improved fuzzy constraint satisfaction approach is proposed.
通过摄像机-云台系统所采用的视觉坐标系，推导出了摄像机-云台系统转动的角度控制公式，为运动车辆的跟踪提供了理论基础。
The angle control formula of the camera & pan-tilt-device system is educed with its vision coordinates, which provides theory basis for moving vehicle tracking.
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.
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.
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.
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.
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