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Table Tennis Service Umpiring System Based on Video Identification-for Height and Angle of the Throwing Ball

机译：基于视频识别的抛球高度和角度的乒乓球发球训练系统

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摘要

Table tennis is a very rapid movement in competitive sports, and its referee needs to make a judgment based on observation and experience within a few seconds, which is a very challenge task. Due to the subjective judgment of the referee's uncertainty and imprecision, it will lead to some false judgment, resulting in a significant impact on the results of the competition. In the current competitions, the most controversial penalty is the height and angle of the throwing ball's problem. To solve this controversial problem, this paper designs a complementary video-based recognition of table tennis service umpiring system that can identify and track the location of the table tennis in the video and determine the exact moment when the ball leaves the hand. As a new umpiring system, this paper first introduces into the machine learning methods to identify in table tennis, and discusses a new method of predicting the region of interest to reduce the recognition error rate and improve the recognition efficiency. This system will eventually get through the data of height and angle of the throwing ball, which not only provides a scientific reference for the referees, but also provides a supplementary basis for the athletes to question the referee.
机译：乒乓球是一项非常快速的竞技运动，它的裁判需要在几秒钟内根据观察和经验做出判断，这是一项非常艰巨的任务。由于主观判断裁判的不确定性和不准确性，会导致一些错误的判断，从而对比赛结果产生重大影响。在当前的比赛中，最有争议的惩罚是投球问题的高度和角度。为了解决这个有争议的问题，本文设计了一种基于视频的互补性乒乓球服务裁判系统，该系统可以识别和跟踪视频中乒乓球的位置，并确定球离开手的确切时刻。作为一种新型的裁判系统，本文首先介绍了乒乓球识别中的机器学习方法，并探讨了预测感兴趣区域的新方法，以减少识别错误率并提高识别效率。该系统最终将获得抛球的高度和角度的数据，这不仅为裁判员提供了科学依据，也为运动员质疑裁判员提供了补充依据。

著录项

  • 来源
    《Wearable sensors and robots》|2015年|495-509|共15页
  • 会议地点 Hangzhou(CN)
  • 作者

    Yun-feng Ji; Chao-li Wang; Zhi-hao Shi; Jie Ren; Ling Zhu;

  • 作者单位

    Physical Education and Sports Training, Shanghai University of Sport, Shanghai 200093, China;

    Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;

    Physical Education and Sports Training, Shanghai University of Sport, Shanghai 200093, China;

    Physical Education and Sports Training, Shanghai University of Sport, Shanghai 200093, China;

    Physical Education and Sports Training, Shanghai University of Sport, Shanghai 200093, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Table tennis; Umpiring system; Region of interest; Machine learning; Recognition;

    机译：乒乓球;指导系统；感兴趣区域；机器学习；承认;

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