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View all- Systems M(2023)RetractedMobile Information Systems10.1155/2023/98425362023Online publication date: 1-Jan-2023
Data Mining and Video Target Detection-Based Analysis of Martial Arts Cultural Communication and Martial Arts Athletes’ Posture
Authors: 
Zhen Ma, Yanping Ma Academic Editor: Shadi AljawarnehAuthors Info & Claims
Zhen Ma, Yanping Ma Academic Editor: Shadi AljawarnehAuthors Info & ClaimsAbstract
With the continuous deepening of economic globalization and the continuous development of Internet big data, the spread of martial arts culture has attracted people’s attention. The advent of the Internet big data era has brought new opportunities and media for the dissemination of martial arts culture but also brought certain risks and challenges. This paper firstly uses the literature method, logical analysis method, and related theories of communication, with the help of the SWOT strategic analysis method, to analyze the internal advantages and disadvantages faced by martial arts culture communication itself, as well as the external opportunities in the context of the Internet big data era and challenges. In order to realize the target detection and tracking task of Martial athletes, this paper proposes a target detection and tracking algorithm for Martial athletes. First, the algorithm constructs and trains a fully CNN-based athlete target detection model, which can detect the first frame of athlete targets in martial arts competitions or martial arts training videos. Experiments show that the athlete positioning information output by the detection model and the video frame sequence are jointly input into the athlete target tracking module based on neighborhood similarity, so as to realize the target tracking of martial arts athletes.
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- Data Mining and Video Target Detection-Based Analysis of Martial Arts Cultural Communication and Martial Arts Athletes’ Posture
Index terms have been assigned to the content through auto-classification.
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Copyright © 2022 Zhen Ma and Yanping Ma.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Published: 01 January 2022
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View all- Systems M(2023)RetractedMobile Information Systems10.1155/2023/98425362023Online publication date: 1-Jan-2023