文章摘要
张瑞全.基于Apriori数据挖掘算法的篮球比赛现场决策系统构建[J].井冈山大学自然版,2021,42(3):90-95
基于Apriori数据挖掘算法的篮球比赛现场决策系统构建
CONSTRUCTION OF A BASKETBALL GAME SCENE DECISION-MAKING SYSTEM BASED ON APRIORI DATA MINING ALGORITHM
投稿时间:2020-08-29  修订日期:2020-11-21
DOI:10.3669/j.issn.1674-8085.2021.03.016
中文关键词: 篮球比赛  决策  图像  人工智能  数据挖掘  Apriori算法
英文关键词: basketball game  decision-making  image  artificial intelligence  data mining  Apriori algorithm
基金项目:安徽省省级质量工程重点项目(2018mooc538);安徽省质量工程课程思政建设研究项目(2020kcszyjxm180)
作者单位
张瑞全 滁州城市职业学院体育部, 安徽, 滁州 239000 
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中文摘要:
      为优化篮球比赛现场决策效果与效率,将人工智能技术引入篮球比赛决策当中,设计了篮球比赛现场决策人工智能辅助系统。首先,利用摄像机布局了篮球场比赛帧图像采集方案,基于三维空间仿射变换方法标定相机降低帧图像失真程度;构建篮球战术数据库,将现场采集的比赛视频与数据库对战视频案例进行匹配比对;基于Apriori算法找到篮球比赛视频对应的战术方案频繁项集,生成篮球战术布局的关联规则,最终得到本场比赛最佳的篮球战术布局方案。本次对于篮球比赛人工智能辅助决策系统的构思,提高了决策者在战术布局思考中的效率,具有广阔的推广应用前景。
英文摘要:
      In order to optimize the effect and efficiency of on-site decision-making in basketball games, artificial intelligence technology was introduced into the decision-making of basketball games, and a related artificial intelligence auxiliary system was designed. Firstly, the cameras were used to lay out the basketball court game frame image acquisition program, and based on the three-dimensional space affine transformation method, the degree of frame image distortion of the cameras were calibrated; building a basketball tactical database, the game videos collected on the spot were matched with the database match video case; based on the Apriori algorithm, the frequent item sets of the tactical plan corresponding to the basketball game videos were found to generate the association rules of the basketball tactical layout, and finally get the best plan for the game. The idea of the artificial intelligence auxiliary decision-making system for basketball games could improve the efficiency of decision makers in thinking about tactical layout, and have broad prospects for promotion and application.
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