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使用双阶段深度学习网络的自动玩家识别和索引.

Hongshan Liu1, Colin Adreon2, Noah Wagnon2

  • 1Biomedical Engineering, Stevens Institute of Technology, Hoboken, 07030, NJ, US.

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此摘要是机器生成的。

这项研究引入了一个深度学习系统,用于自动跟踪美国足球运动员,并使用球衣号码对他们的参与进行索引. 可靠的系统可增强足球视频分析和球员识别.

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科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 运动分析 运动分析

背景情况:

  • 准确的球员识别和参与索引对于美国足球视频分析至关重要.
  • 处理足球视频的挑战包括拥挤的场景,对象扭曲和不平衡的数据,特别是在球衣号码识别方面.

研究的目的:

  • 开发基于深度学习的系统,用于在美国足球比赛中自动跟踪球员和参与索引.
  • 为了应对复杂的足球视频环境中球员识别的挑战.

主要方法:

  • 一个两阶段的深度学习网络被设计用于玩家检测和球衣号码识别.
  • 一个物体检测网络 (检测变压器) 用于在拥挤的环境中识别玩家.
  • 一个卷积神经网络被用来识别球衣号码,与游戏时钟子系统同步.

主要成果:

  • 该系统准确地跟踪球员并识别球衣号码,从而实现可靠的游戏索引.
  • 定性和定量分析表明,拟议的球员跟踪系统的有效性和可靠性.
  • 该系统成功地在数据库中输出了游戏索引的全面日志.

结论:

  • 开发的深度学习系统为自动追踪球员和参与美国足球的索引提供了有效的解决方案.
  • 该系统显示了在分析广播足球视频方面实际实施的巨大潜力.
  • 这项技术可以加强对美国足球球员表现的索引和分析.