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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >VEHICULAR QUEUE LENGTH MEASUREMENT BASED ON EDGE DETECTION AND VEHICLE FEATURE EXTRACTION
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VEHICULAR QUEUE LENGTH MEASUREMENT BASED ON EDGE DETECTION AND VEHICLE FEATURE EXTRACTION

机译：基于边缘检测和车辆特征提取的车辆排队长度测量

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摘要

The queue length is an important parameter used by several companies of traffic management for quantitative analysis of traffic scene. In this paper, we propose a system to measure the queue length. The proposed system contains two principal operations for measuring the queue length the first operation is the motion detection, and the second one is the vehicle detection. The traffic scene is divided into a number of blocks, which have variable sizes based on the camera parameters and the distance between the camera and the position of the block. To minimize the execution time to accord the real-time application, we continuously apply the detection motion operation on the first block of the scene and the queue tail. The vehicle detection algorithm is based on the edge detection and the vehicle features extraction to improve the detection of vehicle and minimize the error of detection of the other things? edges (damaged of road, the mark of the road, the shadow of trees or building). The algorithm is applied to videos obtained by stationary camera. The obtained results demonstrate the robustness and accuracy of the proposed system.
机译：队列长度是多个交通管理公司用于交通场景定量分析的重要参数。在本文中，我们提出了一种测量队列长度的系统。所提出的系统包含两个用于测量队列长度的主要操作，第一个操作是运动检测，第二个操作是车辆检测。交通场景分为多个块，这些块的大小根据摄像机参数以及摄像机与该块位置之间的距离而定。为了使执行时间最短以适应实时应用，我们将检测运动操作连续应用于场景的第一个块和队列尾部。车辆检测算法是基于边缘检测和车辆特征提取的，以提高对车辆的检测并最小化其他事物的检测误差？边缘（损坏的道路，道路的标记，树木或建筑物的阴影）。该算法适用于固定摄像机获得的视频。获得的结果证明了所提出系统的鲁棒性和准确性。

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