Smart Badminton Detection System Based on Scaled-YOLOv4

Yen Ting Chen, Jar Ferr Yang, Kuo Cheng Tu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

In recent years, artificial intelligence applied to computer vision is growing popularly. Also, the smart sport system is now a flourishing research topic that more and more researchers are studying in this area. In this paper, we used scaled-YOLOv4 [1], which is now the state-of-the-art deep learning model on object detection, as our deep learning network to build a smart badminton detection system. We proposed the modified scaled-YOLOv4 by adding residual attention modules to detect the positions of badminton players and the shuttlecock and an image projection method to calculate the moving distance of the players.

原文English
主出版物標題ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems
主出版物子標題5G Dream to Reality, Proceeding
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665419512
DOIs
出版狀態Published - 2021
事件2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021 - Hualien, Taiwan
持續時間: 2021 11月 162021 11月 19

出版系列

名字ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding

Conference

Conference2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021
國家/地區Taiwan
城市Hualien
期間21-11-1621-11-19

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 訊號處理
  • 安全、風險、可靠性和品質

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