Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm

Detalhes bibliográficos
Autor(a) principal: Vieira, Luiz H. P.
Data de Publicação: 2017
Outros Autores: Pagnoca, Emilio A., Milioni, Fabio [UNESP], Barbieri, Ricardo A. [UNESP], Menezes, Rafael P., Alvarez, Luis, Deniz, Luis G., Santana-Cedres, Daniel, Santiago, Paulo R. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/21681163.2015.1072055
http://hdl.handle.net/11449/159439
Resumo: The aim of this study was to assess the applicability and reliability of a single wide-angle lens GoPro r camera for tracking and kinematics analysis of futsal players. An official game of a Brazilian professional team in the quarter-final round of the 2013 Sao Paulo futsal league was recorded by four digital video cameras (30 Hz; 720 x 480) placed at the highest points of the court (40 x 20 m; FIFA standard). We compared tracking performed with three cameras equipped with conventional lenses to a GoPro r camera with a wide-angle lens with a 170 degrees field of view. Manual and automatic tracking of players trajectories (n = 5; 23.20 +/- 2.39 years) during competition and in a controlled environment were performed. We found that the root-mean-square error calculated to determine the position on the court based on images captured with a GoPro r camera was 0.32 m and for the velocity was 0.71 m s-1. A 5-min excerpt of the game showed an average difference of 2.11% between the total distance covered obtained by tracking with the GoPro r with radial distortion correction (438.97 +/- 164.65 m), and cameras with conventional lenses (449.54 +/- 170.92 m). Temporal correlation analysis confirmed the great similarity between the reconstructed trajectories obtained by these cameras (r = 0.99 for movements on both x and y axes). We showed that a single GoPro r Hero3+ can provide reliable kinematic analysis of computational tracking based on videogrammetry for futsal, using the Hough transform and division model technique for radial distortion correction.
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spelling Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithmRadial distortionHough transformGoProautomatic trackingfutsalbiomechanicsThe aim of this study was to assess the applicability and reliability of a single wide-angle lens GoPro r camera for tracking and kinematics analysis of futsal players. An official game of a Brazilian professional team in the quarter-final round of the 2013 Sao Paulo futsal league was recorded by four digital video cameras (30 Hz; 720 x 480) placed at the highest points of the court (40 x 20 m; FIFA standard). We compared tracking performed with three cameras equipped with conventional lenses to a GoPro r camera with a wide-angle lens with a 170 degrees field of view. Manual and automatic tracking of players trajectories (n = 5; 23.20 +/- 2.39 years) during competition and in a controlled environment were performed. We found that the root-mean-square error calculated to determine the position on the court based on images captured with a GoPro r camera was 0.32 m and for the velocity was 0.71 m s-1. A 5-min excerpt of the game showed an average difference of 2.11% between the total distance covered obtained by tracking with the GoPro r with radial distortion correction (438.97 +/- 164.65 m), and cameras with conventional lenses (449.54 +/- 170.92 m). Temporal correlation analysis confirmed the great similarity between the reconstructed trajectories obtained by these cameras (r = 0.99 for movements on both x and y axes). We showed that a single GoPro r Hero3+ can provide reliable kinematic analysis of computational tracking based on videogrammetry for futsal, using the Hough transform and division model technique for radial distortion correction.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)PIBIC/USPUniv Sao Paulo, Lab Biomecan & Controle Motor, Sch Phys Educ & Sport Ribeirao Preto, Ribeirao Preto, BrazilUniv Sao Paulo, Fac Pharmaceut Sci Ribeirao Preto, Ribeirao Preto, BrazilSao Paulo State Univ Julio Mesquita Filho, Inst Biosci, Rio Claro, BrazilUniv Las Palmas Gran Canaria, CTIM Image Technol Ctr, Dept Ingn Elect Automat, Las Palmas Gran Canaria, Canary Islands, SpainSao Paulo State Univ Julio Mesquita Filho, Inst Biosci, Rio Claro, BrazilFAPESP: 2013/08302-6PIBIC/USP: 14.1.101.90.2Taylor & Francis LtdUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Univ Las Palmas Gran CanariaVieira, Luiz H. P.Pagnoca, Emilio A.Milioni, Fabio [UNESP]Barbieri, Ricardo A. [UNESP]Menezes, Rafael P.Alvarez, LuisDeniz, Luis G.Santana-Cedres, DanielSantiago, Paulo R. P.2018-11-26T15:43:47Z2018-11-26T15:43:47Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article221-231application/pdfhttp://dx.doi.org/10.1080/21681163.2015.1072055Computer Methods In Biomechanics And Biomedical Engineering-imaging And Visualization. Abingdon: Taylor & Francis Ltd, v. 5, n. 3, p. 221-231, 2017.2168-1163http://hdl.handle.net/11449/15943910.1080/21681163.2015.1072055WOS:000396690300006WOS000396690300006.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputer Methods In Biomechanics And Biomedical Engineering-imaging And Visualization0,284info:eu-repo/semantics/openAccess2024-01-17T06:24:26Zoai:repositorio.unesp.br:11449/159439Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:13:27.277325Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
title Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
spellingShingle Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
Vieira, Luiz H. P.
Radial distortion
Hough transform
GoPro
automatic tracking
futsal
biomechanics
title_short Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
title_full Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
title_fullStr Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
title_full_unstemmed Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
title_sort Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
author Vieira, Luiz H. P.
author_facet Vieira, Luiz H. P.
Pagnoca, Emilio A.
Milioni, Fabio [UNESP]
Barbieri, Ricardo A. [UNESP]
Menezes, Rafael P.
Alvarez, Luis
Deniz, Luis G.
Santana-Cedres, Daniel
Santiago, Paulo R. P.
author_role author
author2 Pagnoca, Emilio A.
Milioni, Fabio [UNESP]
Barbieri, Ricardo A. [UNESP]
Menezes, Rafael P.
Alvarez, Luis
Deniz, Luis G.
Santana-Cedres, Daniel
Santiago, Paulo R. P.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
Univ Las Palmas Gran Canaria
dc.contributor.author.fl_str_mv Vieira, Luiz H. P.
Pagnoca, Emilio A.
Milioni, Fabio [UNESP]
Barbieri, Ricardo A. [UNESP]
Menezes, Rafael P.
Alvarez, Luis
Deniz, Luis G.
Santana-Cedres, Daniel
Santiago, Paulo R. P.
dc.subject.por.fl_str_mv Radial distortion
Hough transform
GoPro
automatic tracking
futsal
biomechanics
topic Radial distortion
Hough transform
GoPro
automatic tracking
futsal
biomechanics
description The aim of this study was to assess the applicability and reliability of a single wide-angle lens GoPro r camera for tracking and kinematics analysis of futsal players. An official game of a Brazilian professional team in the quarter-final round of the 2013 Sao Paulo futsal league was recorded by four digital video cameras (30 Hz; 720 x 480) placed at the highest points of the court (40 x 20 m; FIFA standard). We compared tracking performed with three cameras equipped with conventional lenses to a GoPro r camera with a wide-angle lens with a 170 degrees field of view. Manual and automatic tracking of players trajectories (n = 5; 23.20 +/- 2.39 years) during competition and in a controlled environment were performed. We found that the root-mean-square error calculated to determine the position on the court based on images captured with a GoPro r camera was 0.32 m and for the velocity was 0.71 m s-1. A 5-min excerpt of the game showed an average difference of 2.11% between the total distance covered obtained by tracking with the GoPro r with radial distortion correction (438.97 +/- 164.65 m), and cameras with conventional lenses (449.54 +/- 170.92 m). Temporal correlation analysis confirmed the great similarity between the reconstructed trajectories obtained by these cameras (r = 0.99 for movements on both x and y axes). We showed that a single GoPro r Hero3+ can provide reliable kinematic analysis of computational tracking based on videogrammetry for futsal, using the Hough transform and division model technique for radial distortion correction.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2018-11-26T15:43:47Z
2018-11-26T15:43:47Z
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://dx.doi.org/10.1080/21681163.2015.1072055
Computer Methods In Biomechanics And Biomedical Engineering-imaging And Visualization. Abingdon: Taylor & Francis Ltd, v. 5, n. 3, p. 221-231, 2017.
2168-1163
http://hdl.handle.net/11449/159439
10.1080/21681163.2015.1072055
WOS:000396690300006
WOS000396690300006.pdf
url http://dx.doi.org/10.1080/21681163.2015.1072055
http://hdl.handle.net/11449/159439
identifier_str_mv Computer Methods In Biomechanics And Biomedical Engineering-imaging And Visualization. Abingdon: Taylor & Francis Ltd, v. 5, n. 3, p. 221-231, 2017.
2168-1163
10.1080/21681163.2015.1072055
WOS:000396690300006
WOS000396690300006.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computer Methods In Biomechanics And Biomedical Engineering-imaging And Visualization
0,284
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 221-231
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis Ltd
publisher.none.fl_str_mv Taylor & Francis Ltd
dc.source.none.fl_str_mv Web of Science
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
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