The intelligent real-time traffic monitoring is significant to traffic information collection, standardization of traffic management and traffic accidents decrease and so on.
实现实时的智能交通监控对于交通信息收集、规范交通管理及减少交通事故发生等具有重要的现实意义。
Based on the complex background of vehicular and pedestrian traffic monitoring and recognition.
基于复杂背景的车辆与行人的监测与识别。
For the wide application and demand of intelligent traffic monitoring, this paper puts forward an algorithm to detect the peccancy vehicle in the yellow grid region.
针对智能交通的广泛应用与需求，提出了一种黄网格区域违章车辆智能监测算法。
In this paper, we introduce the camera model calibration algorithms and adopt a method of moving a single camera to calibrate parameters of traffic monitoring system.
本文研究了摄像机模型的标定方法，采用了通过一台摄像机平行移动来模拟两个摄像机的标定方法，达到标定系统参数的目的。
A stable and reliable video system is needed whether in the various traffic monitoring system or in the laboratory for research of image processing and video algorithm.
无论是在交通路口的各种视频监控系统，还是在实验室里进行的各种图像处理和视频算法的研究，都需要有一套稳定可靠的视频系统来支持。
Therefore, a traffic monitoring method of QQ Games based on probe of TMA was presented.
因此，提出了一种使用TMA探针的监测“QQ游戏”流量的方法。
The experiment shows that the algorithm can extract background effectively, which is suitable for video traffic monitoring system.
实验表明，该算法得到的背景效果良好，适用于视频交通系统。
Motion object detection is widely used in the areas of smart traffic monitoring, vehicle navigation, assistant driving and automatic toll collection on freeways.
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。
At present, most colleges and universities have established a campus network. As the network is expanding increasingly, network traffic monitoring has become one of the fundamental management work.
目前大部分高校建立起了校园网，随着网络在学校内部各机构的扩大，网络流量监控已经成为了网络管理工作的基础之一。
Traffic monitoring plays an important role in intelligent transportation systems. It can be used to collect real time traffic data concerning traffic flow.
交通监视系统通过采集实时交通流量数据，为智能化交通运输服务和控制管理提供依据，在智能交通系统中有着极其重要的作用。
This work is a part of the project Study of the Electrical Property And Testing Methods of Smart Concrete For Traffic Monitoring System, supported by the National Natural Science Foundation.
本课题是国家自然科学基金项目“用于交通监测系统的智能混凝土的电特性及测试方法研究”的一部分。
This work is a part of the project Study of the Electrical Property And Testing Methods of Smart Concrete For Traffic Monitoring System, supported by the National Natural Science Foundation.
本课题是国家自然科学基金项目“用于交通监测系统的智能混凝土的电特性及测试方法研究”的一部分。
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