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基于计算机视觉的运动员错误动作识别模型构建及仿真

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微型电脑应用2018,Vol.34Issue(6):59-62,4.
微型电脑应用2018,Vol.34Issue(6):59-62,4.

基于计算机视觉的运动员错误动作识别模型构建及仿真

Construction and Simulation of Athlete's Wrong Actions Recognition Model Based on Computer Vision

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作者信息

  • 1. 榆林学院, 榆林 719000
  • 折叠

摘要

Abstract

In view of the needs of current athletes training and combined with the current computer vision technology, a model based on the error recognition of athletes is proposed. The principle of sports error action 3D modeling is analyzed. Combined with the wrong action recognition process, taking high altitude Nanquan as the research object, the 3D coordinates of the athletes are applied to build the formal description of action rules, and the Bayesian algorithm is used to identify the wrong action. Finally the above scheme is verified. The Bayesian algorithm has higher detection accuracy than the traditional ones.

关键词

计算机视觉/错误动作/模型/仿真/贝叶斯

Key words

computer vision/erroneous action/model/simulation/Bayes

分类

信息技术与安全科学

引用本文复制引用

高亮..基于计算机视觉的运动员错误动作识别模型构建及仿真[J].微型电脑应用,2018,34(6):59-62,4.

微型电脑应用

OACSTPCD

1007-757X

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