Tracking futsal players with a wide-angle lens camera: accuracy analysis of the radial distortion correction based on an improved Hough transform algorithm
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , |
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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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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1808129500260597760 |