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基于卡尔曼滤波和YOLOv5绘制滑行轨迹的方法

A Method of Drawing Taxiing Trajectory Based on Kalman Filter and YOLOv5
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摘要 真实场景中的目标跟踪问题一直以来都是研究热点,而双人花样滑冰作为冬奥会热门比赛项目之一,如何检测跟踪并预测绘制运动员在比赛或训练中的曲线对于评判运动员的表现尤为重要,为此,文章提出一种基于卡尔曼滤波和YOLOv5绘制双人花样滑冰滑行轨迹的方法。首先通过YOLOv5检测当前帧中的待跟踪目标,获取目标的ID、边界框大小和中心坐标信息;然后利用卡尔曼滤波根据目标的上一帧位置信息预估其下一帧位置,进行精确的目标跟踪;最后绘制出运动员的运动轨迹。 Target tracking in the real scene has always been a research hotspot.And double figure skating taking as one of the popular events in the Winter Olympic Games,how to detect,track,predict and draw the curve of athletes in competition or training is particularly important to judge the performance of athletes.Therefore,this paper proposes a method to draw the sliding track of double figure skating based on Kalman filter and YOLOv5.Firstly,the target to be tracked in the current frame is detected by YOLOv5,and the target ID,bounding box size and center coordinate information are obtained;then,Kalman filter is used to estimate the position of the next frame according to the position information of the previous frame of the target for accurate target tracking;finally,draw the movement track of the athlete.
作者 何金平 杨波 HE Jinping;YANG Bo(School of Information Engineering,Changchun University of Finance and Economics,Changchun 130122,China)
出处 《现代信息科技》 2021年第24期153-157,161,共6页 Modern Information Technology
关键词 卡尔曼滤波 YOLO 目标检测 花样滑冰 轨迹 Kalman filter YOLO target detection figure skating trajectory
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