Scholarlink

The shuttlecock is a key component in badminton, a sport that is popular around the world. For several uses, including coaching, training, and performance monitoring, it is crucial to accurately identify the shuttlecock in badminton videos. This study focuses on improving gameplay analysis through the use of artificial intelligence-powered badminton video/frames analysis. The technique examines player actions, shot choices, and game strategy while analyzing badminton game footage using one-stage You Only Look Once (YOLO) v8 detector algorithms. Comparing the most recent YOLO variants in order to determine which is best is the goal of this paper. The results assist coaches in recognizing patterns and trends in their athletes while offering players tailored comments and suggestions for development.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analysis of Deep Learning-Based Models for Badminton Shuttlecock Detection

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Payal Mittal,
  • Mukesh Dalal,
  • Vedant Anand,
  • Naman Sood

摘要

The shuttlecock is a key component in badminton, a sport that is popular around the world. For several uses, including coaching, training, and performance monitoring, it is crucial to accurately identify the shuttlecock in badminton videos. This study focuses on improving gameplay analysis through the use of artificial intelligence-powered badminton video/frames analysis. The technique examines player actions, shot choices, and game strategy while analyzing badminton game footage using one-stage You Only Look Once (YOLO) v8 detector algorithms. Comparing the most recent YOLO variants in order to determine which is best is the goal of this paper. The results assist coaches in recognizing patterns and trends in their athletes while offering players tailored comments and suggestions for development.