羽毛球运动员手臂击球图像轨迹跟踪效果仿真

发布时间：2018-04-04 10:52

本文选题：羽毛球　切入点：手臂击球　出处：《计算机仿真》2017年10期

【摘要】：对羽毛球运动员手臂击球图像轨迹跟踪,能够有效增强运动员击球质量。对击球手臂图像轨迹进行跟踪,需要计算击球手臂目标区域体态比和紧密度,过滤击球图像片段背景干扰物,完成对手臂击球图像轨迹的高效跟踪。传统方法结合自适应阈值分割方法,将击球手臂目标从背景中提取出来,但忽略了过滤掉击球图像片段背景干扰物。提出基于形态学算子的羽毛球运动员击球过程手臂击球图像轨迹跟踪方法。对连续两帧击球过程击球手臂图像序列进行差分计算,估计击球过程击球手臂差分图像高斯模型参数,提取运动员击球过程击球手臂运动目标的轮廓,计算击球手臂目标区域体态比和紧密度,过滤击球图像片段背景干扰物,构造运动目标全局匹配近似度函数,确定羽毛球运动员击球过程击球手臂运动轨迹。仿真结果表明,所提方法可有效跟踪击球过程中击球手臂目标,并生成连续击球手臂运动轨迹。
[Abstract]:Tracking the trajectory of the badminton player's arm stroke image can effectively enhance the batting quality of the badminton player.To track the image trajectory of the batting arm, it is necessary to calculate the posture ratio and the density of the target area of the batting arm, filter the background interference of the shot image segment, and complete the efficient tracking of the shot image track of the arm.The traditional method combined with adaptive threshold segmentation method extracts the target from the background but neglects to filter out the background interference of the shot image segment.A trajectory tracking method based on morphological operator for badminton players' arm stroke image is proposed.The image sequence of batting arm in two consecutive frames was calculated by differential calculation. Gao Si model parameters of stroke arm were estimated and the contours of the moving target of the batting arm were extracted.The body ratio and tightness of the target area of the batting arm are calculated, the background interference of the shot image segment is filtered, the approximate function of the global matching degree of the structure moving object is constructed, and the trajectory of the batting arm motion of the badminton player is determined.The simulation results show that the proposed method can effectively track the target of hitting arm in the course of batting and generate the motion trajectory of continuous batting arm.
【作者单位】：四川大学锦江学院;成都大学体育学院;
【分类号】：G847

【相似文献】