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An Efficient Approach for Detection and Speed Estimation of Moving Vehicles

机译:一种有效的移动车辆检测与速度估计方法

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An intelligent traffic management and surveillance is the basic need for the smart city development in India. This includes the detection of moving vehicles, estimation of their speed and detection of the speed limit violation and its registration number. This paper proposes an efficient and novel approach for the detection of moving vehicles as well as estimation of their speeds by using a single camera in daylight or properly illuminated environment. The proposed approach detects and tracks the vehicle passing through the surveillance area and keeps the record of vehicles position. In this paper vehicles tracking is based on the relative positions of the vehicles in consecutive frames. This information may be used in the Automatic Number Plate Recognition (ANPR) System for selection of those key frames where speed limit violation occurs. The average detection accuracy achieved by proposed approach is about 87.7%. The proposed approach uses cropping operation to minimize the scope of any false positive detection on both sides of road.
机译:智能交通管理和监控是印度智慧城市发展的基本需求。这包括检测行驶中的车辆,估算其速度以及检测违反速度限制及其注册号。本文提出了一种有效且新颖的方法,用于在日光或光照充足的环境中使用单个摄像头检测移动的车辆并估算其速度。所提出的方法检测并跟踪经过监视区域的车辆,并保持车辆位置的记录。在本文中,车辆跟踪基于连续帧中车辆的相对位置。此信息可以在自动车牌识别(ANPR)系统中用于选择发生速度限制违反的那些关键帧。所提出的方法实现的平均检测精度约为87.7%。所提出的方法使用修剪操作来最小化道路两侧的任何误报检测的范围。

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