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Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports
To improve the accuracy of track and field sports feature recognition, this paper combines sensor technology to improve the motion video image multiprocessing technology and gives the basic principles of image registration. Moreover, this paper chooses a model based on projection transformation. Whe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856803/ https://www.ncbi.nlm.nih.gov/pubmed/35186063 http://dx.doi.org/10.1155/2022/4430742 |
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author | Xu, Shaofeng Chen, Junmeng |
author_facet | Xu, Shaofeng Chen, Junmeng |
author_sort | Xu, Shaofeng |
collection | PubMed |
description | To improve the accuracy of track and field sports feature recognition, this paper combines sensor technology to improve the motion video image multiprocessing technology and gives the basic principles of image registration. Moreover, this paper chooses a model based on projection transformation. When using a high-speed linear CCD, only the image information on the finish line is collected. Unlike the previous high-speed area CCD cameras that can capture runway information, linear CCDs are used to collect only the image information on the finish line, and the data is collected and processed through sensor technology. The research shows that the application effect of the motion video image multiprocessing technology based on sensor technology in track and field sports proposed in this paper has good practical effects. |
format | Online Article Text |
id | pubmed-8856803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-88568032022-02-19 Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports Xu, Shaofeng Chen, Junmeng Comput Intell Neurosci Research Article To improve the accuracy of track and field sports feature recognition, this paper combines sensor technology to improve the motion video image multiprocessing technology and gives the basic principles of image registration. Moreover, this paper chooses a model based on projection transformation. When using a high-speed linear CCD, only the image information on the finish line is collected. Unlike the previous high-speed area CCD cameras that can capture runway information, linear CCDs are used to collect only the image information on the finish line, and the data is collected and processed through sensor technology. The research shows that the application effect of the motion video image multiprocessing technology based on sensor technology in track and field sports proposed in this paper has good practical effects. Hindawi 2022-02-11 /pmc/articles/PMC8856803/ /pubmed/35186063 http://dx.doi.org/10.1155/2022/4430742 Text en Copyright © 2022 Shaofeng Xu and Junmeng Chen. https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Research Article Xu, Shaofeng Chen, Junmeng Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports |
title | Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports |
title_full | Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports |
title_fullStr | Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports |
title_full_unstemmed | Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports |
title_short | Application of Multiprocessing Technology of Motion Video Image Based on Sensor Technology in Track and Field Sports |
title_sort | application of multiprocessing technology of motion video image based on sensor technology in track and field sports |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856803/ https://www.ncbi.nlm.nih.gov/pubmed/35186063 http://dx.doi.org/10.1155/2022/4430742 |
work_keys_str_mv | AT xushaofeng applicationofmultiprocessingtechnologyofmotionvideoimagebasedonsensortechnologyintrackandfieldsports AT chenjunmeng applicationofmultiprocessingtechnologyofmotionvideoimagebasedonsensortechnologyintrackandfieldsports |