交通视频的质心算法车辆跟踪计数系统

Centroid algorithm of vehicle tracking and counting systemin traffic video

由于基于虚拟检测线的车辆计数误差较大,因此,研究一种实时性、鲁棒性好的车辆跟踪计数的算法成为研究的重点。文中提出了一种基于质心算法的多目标跟踪模型计数算法。首先提取视频图像中的前景运动图像,然后在检测位置设定虚拟线框,并设置区域的质心位置坐标,以巴氏系数判断当前目标和参考目标的匹配程度。通过实验分析,该算法可实现快速、有效的车辆跟踪计数。

Due to the large vehicle counting error based on the virtual detection line. Therefore, researching a real-time, robust algorithm for vehicle tracking and counting is a top priority in this field. In this paper, a multi-target tracking and counting algorithm based on algorithm is proposed. First, the foreground moving image in the video image is extracted, then the virtual wireframe is set at the detection position, and the centroid position coordinates of the region are set, then the degree of matching between the current target and the reference target is determined by the Barthel coefficient. Through experimental analysis, the algorithm can achieve vehicle tracking and counting fast and effectively.