Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3786245/ http://hdl.handle.net/11449/69706 |
Resumo: | Methods based on visual estimation still is the most widely used analysis of the distances that is covered by soccer players during matches, and most description available in the literature were obtained using such an approach. Recently, systems based on computer vision techniques have appeared and the very first results are available for comparisons. The aim of the present study was to analyse the distances covered by Brazilian soccer players and compare the results to the European players', both data measured by automatic tracking system. Four regular Brazilian First Division Championship matches between different teams were filmed. Applying a previously developed automatic tracking system (DVideo, Campinas, Brazil), the results of 55 outline players participated in the whole game (n = 55) are presented. The results of mean distances covered, standard deviations (s) and coefficient of variation (cv) after 90 minutes were 10,012 m, s = 1,024 m and cv = 10.2%, respectively. The results of three-way ANOVA according to playing positions, showed that the distances covered by external defender (10642 ± 663 m), central midfielders (10476 ± 702 m) and external midfielders (10598 ± 890 m) were greater than forwards (9612 ± 772 m) and forwards covered greater distances than central defenders (9029 ± 860 m). The greater distances were covered in standing, walking, or jogging, 5537 ± 263 m, followed by moderate-speed running, 1731 ± 399 m; low speed running, 1615 ± 351 m; high-speed running, 691 ± 190 m and sprinting, 437 ± 171 m. Mean distance covered in the first half was 5,173 m (s = 394 m, cv = 7.6%) highly significant greater (p < 0.001) than the mean value 4,808 m (s = 375 m, cv = 7.8%) in the second half. A minute-by-minute analysis revealed that after eight minutes of the second half, player performance has already decreased and this reduction is maintained throughout the second half. ©Journal of Sports Science and Medicine (2007). |
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Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking methodBiomechanicsDistance coveredSoccerTrackingMethods based on visual estimation still is the most widely used analysis of the distances that is covered by soccer players during matches, and most description available in the literature were obtained using such an approach. Recently, systems based on computer vision techniques have appeared and the very first results are available for comparisons. The aim of the present study was to analyse the distances covered by Brazilian soccer players and compare the results to the European players', both data measured by automatic tracking system. Four regular Brazilian First Division Championship matches between different teams were filmed. Applying a previously developed automatic tracking system (DVideo, Campinas, Brazil), the results of 55 outline players participated in the whole game (n = 55) are presented. The results of mean distances covered, standard deviations (s) and coefficient of variation (cv) after 90 minutes were 10,012 m, s = 1,024 m and cv = 10.2%, respectively. The results of three-way ANOVA according to playing positions, showed that the distances covered by external defender (10642 ± 663 m), central midfielders (10476 ± 702 m) and external midfielders (10598 ± 890 m) were greater than forwards (9612 ± 772 m) and forwards covered greater distances than central defenders (9029 ± 860 m). The greater distances were covered in standing, walking, or jogging, 5537 ± 263 m, followed by moderate-speed running, 1731 ± 399 m; low speed running, 1615 ± 351 m; high-speed running, 691 ± 190 m and sprinting, 437 ± 171 m. Mean distance covered in the first half was 5,173 m (s = 394 m, cv = 7.6%) highly significant greater (p < 0.001) than the mean value 4,808 m (s = 375 m, cv = 7.8%) in the second half. A minute-by-minute analysis revealed that after eight minutes of the second half, player performance has already decreased and this reduction is maintained throughout the second half. ©Journal of Sports Science and Medicine (2007).Laboratory of Instrumentation for Biomechanics College of Physical Education Campinas State University, CampinasInstitute of Computing Campinas State University, CampinasLaboratory of Biomechanical Analysis Department of Physical Education Paulista State University, Rio ClaroDepartamento de Educação Física Universidade Estadual Paulista, Rio ClaroUniversidade Estadual de Campinas Faculdade de Educação Laboratório de Instrumentação para Biomecânica, CX 6134, CEP 13083-851, Campinas, SPLaboratory of Biomechanical Analysis Department of Physical Education Paulista State University, Rio ClaroDepartamento de Educação Física Universidade Estadual Paulista, Rio ClaroUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Barros, Ricardo M. L.Misuta, Milton S.Menezes, Rafael P.Figueroa, Pascual J.Moura, Felipe A. [UNESP]Cunha, Sergio A. [UNESP]Anido, RicardoLeite, Neucimar J.2014-05-27T11:22:29Z2014-05-27T11:22:29Z2007-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article233-242application/pdfhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3786245/Journal of Sports Science and Medicine, v. 6, n. 2, p. 233-242, 2007.1303-2968http://hdl.handle.net/11449/69706WOS:0002468631000112-s2.0-342498091332-s2.0-34249809133.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Sports Science and Medicine1.9901,091info:eu-repo/semantics/openAccess2024-10-21T14:28:18Zoai:repositorio.unesp.br:11449/69706Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-10-21T14:28:18Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method |
title |
Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method |
spellingShingle |
Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method Barros, Ricardo M. L. Biomechanics Distance covered Soccer Tracking |
title_short |
Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method |
title_full |
Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method |
title_fullStr |
Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method |
title_full_unstemmed |
Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method |
title_sort |
Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method |
author |
Barros, Ricardo M. L. |
author_facet |
Barros, Ricardo M. L. Misuta, Milton S. Menezes, Rafael P. Figueroa, Pascual J. Moura, Felipe A. [UNESP] Cunha, Sergio A. [UNESP] Anido, Ricardo Leite, Neucimar J. |
author_role |
author |
author2 |
Misuta, Milton S. Menezes, Rafael P. Figueroa, Pascual J. Moura, Felipe A. [UNESP] Cunha, Sergio A. [UNESP] Anido, Ricardo Leite, Neucimar J. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Barros, Ricardo M. L. Misuta, Milton S. Menezes, Rafael P. Figueroa, Pascual J. Moura, Felipe A. [UNESP] Cunha, Sergio A. [UNESP] Anido, Ricardo Leite, Neucimar J. |
dc.subject.por.fl_str_mv |
Biomechanics Distance covered Soccer Tracking |
topic |
Biomechanics Distance covered Soccer Tracking |
description |
Methods based on visual estimation still is the most widely used analysis of the distances that is covered by soccer players during matches, and most description available in the literature were obtained using such an approach. Recently, systems based on computer vision techniques have appeared and the very first results are available for comparisons. The aim of the present study was to analyse the distances covered by Brazilian soccer players and compare the results to the European players', both data measured by automatic tracking system. Four regular Brazilian First Division Championship matches between different teams were filmed. Applying a previously developed automatic tracking system (DVideo, Campinas, Brazil), the results of 55 outline players participated in the whole game (n = 55) are presented. The results of mean distances covered, standard deviations (s) and coefficient of variation (cv) after 90 minutes were 10,012 m, s = 1,024 m and cv = 10.2%, respectively. The results of three-way ANOVA according to playing positions, showed that the distances covered by external defender (10642 ± 663 m), central midfielders (10476 ± 702 m) and external midfielders (10598 ± 890 m) were greater than forwards (9612 ± 772 m) and forwards covered greater distances than central defenders (9029 ± 860 m). The greater distances were covered in standing, walking, or jogging, 5537 ± 263 m, followed by moderate-speed running, 1731 ± 399 m; low speed running, 1615 ± 351 m; high-speed running, 691 ± 190 m and sprinting, 437 ± 171 m. Mean distance covered in the first half was 5,173 m (s = 394 m, cv = 7.6%) highly significant greater (p < 0.001) than the mean value 4,808 m (s = 375 m, cv = 7.8%) in the second half. A minute-by-minute analysis revealed that after eight minutes of the second half, player performance has already decreased and this reduction is maintained throughout the second half. ©Journal of Sports Science and Medicine (2007). |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-06-01 2014-05-27T11:22:29Z 2014-05-27T11:22:29Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3786245/ Journal of Sports Science and Medicine, v. 6, n. 2, p. 233-242, 2007. 1303-2968 http://hdl.handle.net/11449/69706 WOS:000246863100011 2-s2.0-34249809133 2-s2.0-34249809133.pdf |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3786245/ http://hdl.handle.net/11449/69706 |
identifier_str_mv |
Journal of Sports Science and Medicine, v. 6, n. 2, p. 233-242, 2007. 1303-2968 WOS:000246863100011 2-s2.0-34249809133 2-s2.0-34249809133.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Sports Science and Medicine 1.990 1,091 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
233-242 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
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1826303932335390720 |