Extracting Features from Foul Actions of Basketball Players in Real Time Using Machine Vision

Extracting Features from Foul Actions of Basketball Players in Real Time Using Machine Vision

Abstract As the global economic landscape rapidly advances and people's quality of life continues to improve, there is a noticeable increase in the demand for various sports, including basketball. Athletes of diverse skill levels find physical, social, and emotional satisfaction in engaging in...

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Bibliographic Details
Main Authors: Dongxu Du, Linyan Chai, Minggang Li, Liao Jiang, Chairat Choosakul, Shixiang Liu
Format: Article
Language:English
Published: Springer 2024-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Machine vision
Basketball players
Foul action
Feature extraction
Online Access:https://doi.org/10.1007/s44196-024-00435-6

Internet

https://doi.org/10.1007/s44196-024-00435-6

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