视频交通参数检测中的车辆分割需要准确地检测与车辆连在一起的阴影和车灯产生的亮斑。
The shadows similar to the vehicle and the spots caused by vehicle lamps need to be accurately detected in the vehicle segmentation involved in the video-based traffic parameter measurement.
在此基础上，设计和实现了视频交通流信息采集系统，并用软件实现检测算法和图像处理算法。
A video traffic flow information collection system is developed based on this method, its detection arithmetic and image processing arithmetic are designed in software.
完成了视频交通流检测和车辆识别系统的设计和部分功能。
It has completed the design of the video traffic flow detection and vehicle recognition system, and realized part of its functions.
对于交通领域的视频检测技术已不是一个新的概念，在国外已经进行了大量的相关研究。
Video detection technology is not a new concept in the transport sector, as there have been much relatively research overseas.
介绍了一种城市交通流量视频检测系统及其车辆识别新算法。
This paper presents a video-based urban traffic flow detection system and a novel vehicle recognition algorithm.
最后，综合事件检测和事故再现上的应用，提出了基于视频检测技术的交通安全系统的框架结构，并在实际应用中验证了系统的性能。
At last, the author puts forward a system structure of video detection technology applied in traffic safety, and the performance of the system is validated in the practice.
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.
在城市交通流量视频检测系统中，夜间车辆检测一直是个难题。
In the video detection system of urban traffic flow, it is a hard work to detect vehicle at night.
提出了一种用于基于视频的交通事件自动检测的交通行为模式学习方法。
A traffic behavior pattern learning method was presented for realizing automatic traffic event detection based on video.
基于视频图像的交通信息检测具有检测信息全面、监视范围广、成本较低、不影响交通等优点。
The video based traffic information detecting technology has detecting more information, larger surveillance areas, lower maintenance cost with respect to other sensors.
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.
基于面阵摄像机的视频检测技术近年来在我国公路交通流量检测系统中得到了大量应用。
Recently, video detection based on plane Array cameras has been widely used in traffic flow detection system in China.
视频车辆检测系统是一种利用图像处理和模式识别技术实现对交通目标检测和识别的计算机处理系统。
Video vehicle detection system is a computer processing system which uses image processing technology to detect the traffic flow.
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.
提出一种基于彩色虚拟检测线的交通流信息视频检测方法。
A new method using virtual trap line is proposed for traffic flow detection.
视频监控方法通过分析拍摄的交通图像序列，对交通目标进行检测、识别和跟踪，并对其行为进行分析和判断。
By analyzing the traffic image sequence, video surveillance method carries out the detection, recognition and tracking of traffic targets, so as to identify and judge their behaviors.
与其它检测手段相比，视频监控方式可以同时获得多种重要路况状态信息，有利于实现交通管理的智能化，具有很大的发展潜力。
Compared with other means, video surveillance can simultaneously collect various important traffic parameters, which profits to achieve intelligent traffic management, so it has a great potential.
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.
选取不同交通状态的视频训练序列，将本文方法同中值法、一致性检测法进行了对比实验。
By experiments, the proposed method was compared with the median method and the sample consensus method under different traffic conditions.
用本文的交通流视频检测算法对广州市和赣州市多段实况交通视频进行了反复地测试，取得了良好的效果。
With the video detection algorithm, we have carried on video tests repeatedly under the environment of real road in Guangzhou and in Ganzhou, and the result is good .
用本文的交通流视频检测算法对广州市和赣州市多段实况交通视频进行了反复地测试，取得了良好的效果。
With the video detection algorithm, we have carried on video tests repeatedly under the environment of real road in Guangzhou and in Ganzhou, and the result is good .
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