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短道速滑运动中的轨迹建模

  

  1. 1. 中国科学院计算技术研究所,北京 100190;
    2. 中国科学院大学,北京 100049; 
    3. 吉林大学,吉林 长春 130012;4
    . 国家体育总局体育科学研究所,北京 100061
  • 出版日期:2019-02-28 发布日期:2019-02-27
  • 基金资助:
    国家重点研发计划项目(2017YFB1002700);国家体育总局体育科学研究所基本科研业务费(基本17-28,基本18-19);国家自然科学基金项 目(61227802,61379082)

Trajectory Modeling in Short Track Speed Skating

  1. 1. Institute of Computing Technology, The Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China; 
    3. Jilin University, Changchun Jilin 130012, China;
    4. China Institute of Sport Science, General Administration of Sport, Beijing 100061, China
  • Online:2019-02-28 Published:2019-02-27

摘要: 为探究在短道速滑比赛视频中检测、跟踪多个运动员目标并重建运动轨迹的问题, 针对目前的技术难以保证在遮挡频繁和位置交错的复杂运动视频中完整地跟踪各个目标并恢复 其运动轨迹,提出了一套完整的算法流程,能够快速并准确地检测、跟踪运动员目标并对其运 动轨迹进行建模。进一步地,提出了一种基于三次 B-样条曲线的轨迹重建算法,利用 B-样条曲 线的非均匀性和连续性,可以在缺失部分跟踪结果的情况下完整地拟合各个目标的光滑运动轨 迹。实验表明,该算法可以检测、跟踪多个运动员目标并重建其运动轨迹,所得结果可进一步 用于实际的技战术分析中。

关键词: 短道速滑, 检测与跟踪, B-样条曲线, 轨迹建模

Abstract: This paper explores the question of detecting and tracking multiple athletes in a short track speed skating video and reconstructing their trajectories. The current technology is difficult to ensure that each target is completely tracked and its trajectory is recovered in a complex motion video with frequent blocking and interlaced positions. We propose a complete algorithm flow to quickly and accurately detect and track athletes. Further, a trajectory reconstruction algorithm based on cubic B-spline curve is proposed. Using the nonuniformity and continuity of the B-spline curve, this algorithm can completely match the smooth motion trajectory of each target in the absence of partial tracking results. Experiments show that this algorithm can detect and track multiple athletes and rebuild their trajectories, and the results obtained can be further used in the actual technical and tactical analysis.

Key words: short track speed skating, detecting and tracking, B-spline curve, trajectory reconstruction