scholarly journals Sports Action Recognition Based on Image Processing Technology and Analysis of the Development of Sports Industry Pattern

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhaoyin Jiang ◽  
Fuyou Zhang ◽  
Laishuang Sun

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.

2019 ◽  
Vol 75 (2) ◽  
pp. I_1267-I_1272
Author(s):  
Naoki FUKUHARA ◽  
Tetsuya TAKESHITA ◽  
Fuminori KATO ◽  
Takuya TERANISHI ◽  
Takahiro AKITA ◽  
...  

Author(s):  
Dehai Song

Based on the development and advantages of digital image processing technology, this paper introduces its application in American football teaching. Aiming at the characteristics of image processing technology and practicality, the deep learning is introduced into the American football teaching process. Combining the characteristics of electronic information subject and years of teaching experience, the teaching mode and practice of American football are discussed. This lets students analyze and solve practical problems, promote students' deep understanding of knowledge, flexibly grasp the use of knowledge, and enhance their ability to innovate. The multi-processing technology of motion video image based on the analysis and evaluation of non-interference technology has been widely used and developed in the field of modern sports. It has an important help and support for improving the athletic ability of elite athletes. The practice has won the support and recognition of the majority of coaches and athletes.


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