RESEARCH ON ACTION DECOMPOSITION METHOD OF FOOTBALL VIDEO IMAGE BASED ON DEEP LEARNING

Authors

  • Haoyu Wang Sports Science and Technology College, Guangzhou Institute of Applied Science and Technology, 526072, China
  • Lanfeng Wang Sports College, Guizhou City Vocational College, Guiyang, 550025, China
  • Litong Wang Gdansk University of Physical Education and Sport, Gdansk, 80-336, Poland
  • Xinran Wang Shandong Culture and Tourism Investment Group Financial Leasing Co., Ltd, 250000, China

Keywords:

Deep Learning; Football Video Image; Action Decomposition

Abstract

In order to better master football skills, a football video image action decomposition method based on deep learning is proposed. Combined with the principle of deep learning, the action characteristics of football video image are collected, the denoising algorithm of football video action image is optimized, and the action decomposition steps of football video image are simplified. Finally, the experiment proves that the football video image action decomposition method based on deep learning has high practicability in the process of practical application, fully meet the research requirements.

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Published

2025-02-03

Issue

Vol. 25 No. 100 (2025): Vol. 25, No. 100, marzo/March 2025

Section

Articles