A computer vision based web application for tracking soccer players
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/7226 |
Resumo: | Soccer is a sport where everyone that is involved with it make all the efforts aiming for excellence. Not only the players need to show their skills on the pitch but also the coach, and the remaining staff, need to have their own tools so that they can perform at higher levels. Footdata is a project to build a new web application product for soccer (football), which integrates two fundamental components of this sport’s world: the social and the professional. While the former is an enhanced social platform for soccer professionals and fans, the later can be considered as a Soccer Resource Planning, featuring a system for acquisition and processing information to meet all the soccer management needs. In this paper we focus only in a specific module of the professional component. We will describe the section of the web application that allows to analyse movements and tactics of the players using images directly taken from the pitch or from videos, we will show that it is possible to draw players and ball movements in a web application and detect if those movements occur during a game. |
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A computer vision based web application for tracking soccer playersApplicationsInterfacesSoccerInformation systemSoccer is a sport where everyone that is involved with it make all the efforts aiming for excellence. Not only the players need to show their skills on the pitch but also the coach, and the remaining staff, need to have their own tools so that they can perform at higher levels. Footdata is a project to build a new web application product for soccer (football), which integrates two fundamental components of this sport’s world: the social and the professional. While the former is an enhanced social platform for soccer professionals and fans, the later can be considered as a Soccer Resource Planning, featuring a system for acquisition and processing information to meet all the soccer management needs. In this paper we focus only in a specific module of the professional component. We will describe the section of the web application that allows to analyse movements and tactics of the players using images directly taken from the pitch or from videos, we will show that it is possible to draw players and ball movements in a web application and detect if those movements occur during a game.Springer VerlagSapientiaRodrigues, J. M. F.Cardoso, Pedro J. S.Vilas, TiagoSilva, BrunoRodrigues, PedroBelguinha, AntónioGomes, Carlos2015-11-30T15:44:04Z2014-09-272014-09-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/7226eng978-3-319-07436-80302-9743AUT: PCA01382; JRO00913;https://dx.doi.org/10.1007/978-3-319-07437-5_43info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:18:20Zoai:sapientia.ualg.pt:10400.1/7226Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:59:40.442089Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A computer vision based web application for tracking soccer players |
title |
A computer vision based web application for tracking soccer players |
spellingShingle |
A computer vision based web application for tracking soccer players Rodrigues, J. M. F. Applications Interfaces Soccer Information system |
title_short |
A computer vision based web application for tracking soccer players |
title_full |
A computer vision based web application for tracking soccer players |
title_fullStr |
A computer vision based web application for tracking soccer players |
title_full_unstemmed |
A computer vision based web application for tracking soccer players |
title_sort |
A computer vision based web application for tracking soccer players |
author |
Rodrigues, J. M. F. |
author_facet |
Rodrigues, J. M. F. Cardoso, Pedro J. S. Vilas, Tiago Silva, Bruno Rodrigues, Pedro Belguinha, António Gomes, Carlos |
author_role |
author |
author2 |
Cardoso, Pedro J. S. Vilas, Tiago Silva, Bruno Rodrigues, Pedro Belguinha, António Gomes, Carlos |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Rodrigues, J. M. F. Cardoso, Pedro J. S. Vilas, Tiago Silva, Bruno Rodrigues, Pedro Belguinha, António Gomes, Carlos |
dc.subject.por.fl_str_mv |
Applications Interfaces Soccer Information system |
topic |
Applications Interfaces Soccer Information system |
description |
Soccer is a sport where everyone that is involved with it make all the efforts aiming for excellence. Not only the players need to show their skills on the pitch but also the coach, and the remaining staff, need to have their own tools so that they can perform at higher levels. Footdata is a project to build a new web application product for soccer (football), which integrates two fundamental components of this sport’s world: the social and the professional. While the former is an enhanced social platform for soccer professionals and fans, the later can be considered as a Soccer Resource Planning, featuring a system for acquisition and processing information to meet all the soccer management needs. In this paper we focus only in a specific module of the professional component. We will describe the section of the web application that allows to analyse movements and tactics of the players using images directly taken from the pitch or from videos, we will show that it is possible to draw players and ball movements in a web application and detect if those movements occur during a game. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-09-27 2014-09-27T00:00:00Z 2015-11-30T15:44:04Z |
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://hdl.handle.net/10400.1/7226 |
url |
http://hdl.handle.net/10400.1/7226 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-3-319-07436-8 0302-9743 AUT: PCA01382; JRO00913; https://dx.doi.org/10.1007/978-3-319-07437-5_43 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer Verlag |
publisher.none.fl_str_mv |
Springer Verlag |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133219956719616 |