IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH

Detalhes bibliográficos
Autor(a) principal: Dai,Chunmin
Data de Publicação: 2021
Outros Autores: Lu,Yang
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de medicina do esporte (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000300274
Resumo: ABSTRACT Introduction This paper research an improved biological image tracking algorithm of athlete’s cervical spine health under color feedback. Objective A new algorithm is proposed to improve the accuracy of detection and tracking. Methods In this study, the first thing is to apply the color feedback algorithm to improve and optimize the Improved Camshift algorithm. The optimized algorithm was used to track the center of the image, and the video was processed frame by frame. The center position of the tracking frame was obtained. Results The average number of head twists per person is 39 times. Among the three groups, children twisted the least, and older adults twisted the most. Conclusion The algorithm proposed in this study has certain effectiveness and superiority and can be well applied to detecting the number of head twists during exercise. Level of evidence II; Therapeutic studies - investigation of treatment results.
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spelling IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTHSpineBiological ImageAlgorithmsABSTRACT Introduction This paper research an improved biological image tracking algorithm of athlete’s cervical spine health under color feedback. Objective A new algorithm is proposed to improve the accuracy of detection and tracking. Methods In this study, the first thing is to apply the color feedback algorithm to improve and optimize the Improved Camshift algorithm. The optimized algorithm was used to track the center of the image, and the video was processed frame by frame. The center position of the tracking frame was obtained. Results The average number of head twists per person is 39 times. Among the three groups, children twisted the least, and older adults twisted the most. Conclusion The algorithm proposed in this study has certain effectiveness and superiority and can be well applied to detecting the number of head twists during exercise. Level of evidence II; Therapeutic studies - investigation of treatment results.Sociedade Brasileira de Medicina do Exercício e do Esporte2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000300274Revista Brasileira de Medicina do Esporte v.27 n.3 2021reponame:Revista brasileira de medicina do esporte (Online)instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)instacron:SBMEE10.1590/1517-8692202127032021_0129info:eu-repo/semantics/openAccessDai,ChunminLu,Yangeng2021-07-21T00:00:00Zoai:scielo:S1517-86922021000300274Revistahttp://www.scielo.br/rbmeONGhttps://old.scielo.br/oai/scielo-oai.php||revista@medicinadoesporte.org.br1806-99401517-8692opendoar:2021-07-21T00:00Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)false
dc.title.none.fl_str_mv IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH
title IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH
spellingShingle IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH
Dai,Chunmin
Spine
Biological Image
Algorithms
title_short IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH
title_full IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH
title_fullStr IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH
title_full_unstemmed IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH
title_sort IMPROVED BIOLOGICAL IMAGE TRACKING ALGORITHM OF ATHLETE’S CERVICAL SPINE HEALTH
author Dai,Chunmin
author_facet Dai,Chunmin
Lu,Yang
author_role author
author2 Lu,Yang
author2_role author
dc.contributor.author.fl_str_mv Dai,Chunmin
Lu,Yang
dc.subject.por.fl_str_mv Spine
Biological Image
Algorithms
topic Spine
Biological Image
Algorithms
description ABSTRACT Introduction This paper research an improved biological image tracking algorithm of athlete’s cervical spine health under color feedback. Objective A new algorithm is proposed to improve the accuracy of detection and tracking. Methods In this study, the first thing is to apply the color feedback algorithm to improve and optimize the Improved Camshift algorithm. The optimized algorithm was used to track the center of the image, and the video was processed frame by frame. The center position of the tracking frame was obtained. Results The average number of head twists per person is 39 times. Among the three groups, children twisted the least, and older adults twisted the most. Conclusion The algorithm proposed in this study has certain effectiveness and superiority and can be well applied to detecting the number of head twists during exercise. Level of evidence II; Therapeutic studies - investigation of treatment results.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000300274
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000300274
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1517-8692202127032021_0129
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
dc.source.none.fl_str_mv Revista Brasileira de Medicina do Esporte v.27 n.3 2021
reponame:Revista brasileira de medicina do esporte (Online)
instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron:SBMEE
instname_str Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron_str SBMEE
institution SBMEE
reponame_str Revista brasileira de medicina do esporte (Online)
collection Revista brasileira de medicina do esporte (Online)
repository.name.fl_str_mv Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
repository.mail.fl_str_mv ||revista@medicinadoesporte.org.br
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