关于长跑运动员起跑图像姿态优化校正仿真

发布时间：2018-04-26 00:15

  本文选题：长跑运动员 + 起跑姿态　； 参考：《计算机仿真》2017年11期

【摘要】：对长跑运动员的起跑图像姿态的优化矫正,能够有效提高运动员跑步效率。对运动员起跑姿态图像的矫正,需要计算相同位置像素块的绝对差分,给出长跑运动员起跑姿态合理性匹配阈值,完成对起跑姿态优化矫正。传统方法先建立区域像素点之间的联系,生成起跑姿态图像的高斯模型,但忽略了给出姿态合理性匹配阈值,导致姿态矫正精度偏低。提出基于朗斯基函数的图像分析下长跑运动员起跑姿态优化校正方法。利用三维图像分析原理给出运动员起跑姿势的区域与背景显露区域,通过朗斯基矩阵行列式判断相邻像素间空间域相关性,计算当前帧中搜索窗口中心位置的待匹配像素块与参照帧中相同位置像素块的绝对差分,给出长跑运动员起跑姿态合理性匹配阈值,完成对长跑运动员起跑姿态优化校正。仿真证明,所提方法矫正效果较为明显,对运动员专项技术动作的形成与发挥有着积极意义。
[Abstract]:The optimization and correction of the starting image posture of the long distance runners can effectively improve the running efficiency. It is necessary to calculate the absolute difference of the pixel blocks in the same position to correct the starting posture image of the athletes. The reasonable matching threshold of the starting posture of the long distance runners is given to complete the optimization correction of the starting posture. The traditional method firstly establishes the connection between regional pixels and generates Gao Si model of the starting posture image, but neglects to give the matching threshold of attitude rationality, which leads to the low accuracy of attitude correction. This paper presents an image analysis method based on Ransky function to correct the starting posture of long distance runners. Based on the theory of 3D image analysis, the regions of starting position and background exposure of athletes are given, and the spatial correlation between adjacent pixels is judged by Ransky matrix determinant. The absolute difference between the matching pixel block in the current frame searching window center position and the same position pixel block in the reference frame is calculated, the reasonable matching threshold of the starting posture of the long-distance runner is given, and the optimization correction of the starting posture of the long-distance runner is completed. The simulation results show that the correction effect of the proposed method is obvious and has a positive significance to the formation and display of athletes' special technical actions.
【作者单位】： 湖北警官学院;
【分类号】：TP391.41
，

本文编号：1803617