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An Intelligent Monitoring System of Vehicles on Highway Traffic

机译:公路交通车辆智能监控系统

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Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. A poor management results in frequent traffic jam, traffic rules violation and fatal road accidents. Using traditional techniques of RADAR, LIDAR and LASAR to address this problem is time-consuming, expensive and tedious. This paper presents an efficient framework to produce a simple, cost efficient and intelligent system for vehicle speed monitoring. The proposed method uses an HD (High Definition) camera mounted on the road side either on a pole or on a traffic signal for recording video frames. On the basis of these frames, a vehicle can be tracked by using radius growing method, and its speed can be calculated by calculating vehicle mask and its displacement in consecutive frames. The method uses pattern recognition, digital image processing and mathematical techniques for vehicle detection, tracking and speed calculation. The validity of the proposed model is proved by testing it on different highways.
机译:在这个技术和人口不断增长的现代时代,高速公路的车速监控和管理是道路的关键问题。管理不善会导致频繁的交通拥堵,违反交通规则和致命的道路交通事故。使用RADAR,LIDAR和LASAR的传统技术来解决此问题是耗时,昂贵且乏味的。本文提出了一个有效的框架,以产生一个简单,具有成本效益的智能系统来进行车速监控。所提出的方法使用安装在路侧的电线杆或交通信号灯上的HD(高清晰度)摄像机,用于记录视频帧。在这些帧的基础上,可以使用半径增长方法来跟踪车辆,并可以通过计算车辆遮罩及其在连续帧中的位移来计算其速度。该方法使用模式识别,数字图像处理和数学技术进行车辆检测,跟踪和速度计算。通过在不同的公路上进行测试,证明了该模型的有效性。

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