{"title":"Simulation of body trajectory detection in sports training based on infrared thermal imaging image features","authors":"Si Wei","doi":"10.1016/j.tsep.2024.103061","DOIUrl":null,"url":null,"abstract":"<div><div>The traditional motion trajectory detection methods are limited by illumination conditions and occlusion, and it is difficult to capture the athlete’s motion path accurately and in real time. The aim of this study is to improve the accuracy and real-time performance of motion trajectory detection, and to provide more effective auxiliary means for athletes’ training and competition. The image feature analysis method based on Infrared Thermal Imaging, combined with computer vision and machine learning technology, is used to monitor and analyze the motion scene. Infrared Thermal Imaging equipment is used to collect data of motion scenes and obtain infrared image sequence. Then, through the steps of image preprocessing, feature extraction and target recognition, the position and motion trajectory of athletes at different time points are obtained. The experimental results show that the image feature analysis method based on Infrared Thermal Imaging can effectively capture the athlete’s motion trajectory, and has higher accuracy and real-time performance. The method has better adaptability and robustness in complex environments such as lighting conditions and occlusion.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"56 ","pages":"Article 103061"},"PeriodicalIF":5.1000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thermal Science and Engineering Progress","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451904924006796","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The traditional motion trajectory detection methods are limited by illumination conditions and occlusion, and it is difficult to capture the athlete’s motion path accurately and in real time. The aim of this study is to improve the accuracy and real-time performance of motion trajectory detection, and to provide more effective auxiliary means for athletes’ training and competition. The image feature analysis method based on Infrared Thermal Imaging, combined with computer vision and machine learning technology, is used to monitor and analyze the motion scene. Infrared Thermal Imaging equipment is used to collect data of motion scenes and obtain infrared image sequence. Then, through the steps of image preprocessing, feature extraction and target recognition, the position and motion trajectory of athletes at different time points are obtained. The experimental results show that the image feature analysis method based on Infrared Thermal Imaging can effectively capture the athlete’s motion trajectory, and has higher accuracy and real-time performance. The method has better adaptability and robustness in complex environments such as lighting conditions and occlusion.
期刊介绍:
Thermal Science and Engineering Progress (TSEP) publishes original, high-quality research articles that span activities ranging from fundamental scientific research and discussion of the more controversial thermodynamic theories, to developments in thermal engineering that are in many instances examples of the way scientists and engineers are addressing the challenges facing a growing population – smart cities and global warming – maximising thermodynamic efficiencies and minimising all heat losses. It is intended that these will be of current relevance and interest to industry, academia and other practitioners. It is evident that many specialised journals in thermal and, to some extent, in fluid disciplines tend to focus on topics that can be classified as fundamental in nature, or are ‘applied’ and near-market. Thermal Science and Engineering Progress will bridge the gap between these two areas, allowing authors to make an easy choice, should they or a journal editor feel that their papers are ‘out of scope’ when considering other journals. The range of topics covered by Thermal Science and Engineering Progress addresses the rapid rate of development being made in thermal transfer processes as they affect traditional fields, and important growth in the topical research areas of aerospace, thermal biological and medical systems, electronics and nano-technologies, renewable energy systems, food production (including agriculture), and the need to minimise man-made thermal impacts on climate change. Review articles on appropriate topics for TSEP are encouraged, although until TSEP is fully established, these will be limited in number. Before submitting such articles, please contact one of the Editors, or a member of the Editorial Advisory Board with an outline of your proposal and your expertise in the area of your review.