[Retracted] Sports Action Recognition Based on Image Processing Technology and Analysis of the Development of Sports Industry Pattern
Author(s) -
Jiang Zhao-yin,
Fuyou Zhang,
Laishuang Sun
Publication year - 2021
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2021/4815097
Subject(s) - action (physics) , computer science , image processing , feature extraction , feature (linguistics) , image (mathematics) , china , artificial intelligence , pattern recognition (psychology) , computer vision , political science , linguistics , philosophy , physics , quantum mechanics , law
The current era is an information age, and society is turning to the information age. The image processing technology is also widely used in various fields, and the technology of sports action recognition based on image processing technology can also be said to be appropriate. This article uses a spatial visual feature analysis algorithm to implement it. To implement this algorithm, a series of work such as image collection, feature extraction, and action recognition must be completed first and then implemented through texture functions and other related functions. This algorithm can be used to complete the image-based sports action recognition technology at the minimum time cost. This algorithm can help sportsmen better complete training and standardize movements to a certain extent. As for the development of China’s current sports industry structure, it is also steadily improving. The people’s love for sports is getting stronger and stronger, which also makes the development of China’s sports industry still benefit a lot.
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