Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos

Autores
Vainstein, Jonathan Javier; Manera, José Francisco; Negri, Pablo Augusto; Delrieux, Claudio Augusto; Maguitman, Ana Gabriela
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We present a novel approach to action recognition in tennis shot sequences. The underlying model considers the per-frame motion to be regarded as a word (within an alphabet of possible motions), and the sequence of frames as a phrase whose meaning is determined by the words given in a specific order. This feature extraction mechanism allows a semantic treatment of the classification stage using Conditional Random Fields. The system was applied on the RGB videos of the THETIS dataset, achieving an accuracy of over 86% in recognizing 12 different tennis shots among several takes produced by 55 different amateur and professional players.
Fil: Vainstein, Jonathan Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina
Fil: Manera, José Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computacion; Argentina
Fil: Negri, Pablo Augusto. Universidad Argentina de la Empresa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina
Fil: Maguitman, Ana Gabriela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Action Recognition
Conditional Random Fields
Support Vector Ma- Chines
Optical Flow
Motion Description
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/11845
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis VideosVainstein, Jonathan JavierManera, José FranciscoNegri, Pablo AugustoDelrieux, Claudio AugustoMaguitman, Ana GabrielaAction RecognitionConditional Random FieldsSupport Vector Ma- ChinesOptical FlowMotion Descriptionhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1We present a novel approach to action recognition in tennis shot sequences. The underlying model considers the per-frame motion to be regarded as a word (within an alphabet of possible motions), and the sequence of frames as a phrase whose meaning is determined by the words given in a specific order. This feature extraction mechanism allows a semantic treatment of the classification stage using Conditional Random Fields. The system was applied on the RGB videos of the THETIS dataset, achieving an accuracy of over 86% in recognizing 12 different tennis shots among several takes produced by 55 different amateur and professional players.Fil: Vainstein, Jonathan Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; ArgentinaFil: Manera, José Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computacion; ArgentinaFil: Negri, Pablo Augusto. Universidad Argentina de la Empresa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; ArgentinaFil: Maguitman, Ana Gabriela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSpringer2014-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/11845Vainstein, Jonathan Javier; Manera, José Francisco; Negri, Pablo Augusto; Delrieux, Claudio Augusto; Maguitman, Ana Gabriela; Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos; Springer; Lecture Notes In Computer Science; 8827; 11-2014; 909-9160302-9743enginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007%2F978-3-319-12568-8_110info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-12568-8_110info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:08:48Zoai:ri.conicet.gov.ar:11336/11845instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:08:49.289CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
title Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
spellingShingle Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
Vainstein, Jonathan Javier
Action Recognition
Conditional Random Fields
Support Vector Ma- Chines
Optical Flow
Motion Description
title_short Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
title_full Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
title_fullStr Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
title_full_unstemmed Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
title_sort Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos
dc.creator.none.fl_str_mv Vainstein, Jonathan Javier
Manera, José Francisco
Negri, Pablo Augusto
Delrieux, Claudio Augusto
Maguitman, Ana Gabriela
author Vainstein, Jonathan Javier
author_facet Vainstein, Jonathan Javier
Manera, José Francisco
Negri, Pablo Augusto
Delrieux, Claudio Augusto
Maguitman, Ana Gabriela
author_role author
author2 Manera, José Francisco
Negri, Pablo Augusto
Delrieux, Claudio Augusto
Maguitman, Ana Gabriela
author2_role author
author
author
author
dc.subject.none.fl_str_mv Action Recognition
Conditional Random Fields
Support Vector Ma- Chines
Optical Flow
Motion Description
topic Action Recognition
Conditional Random Fields
Support Vector Ma- Chines
Optical Flow
Motion Description
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We present a novel approach to action recognition in tennis shot sequences. The underlying model considers the per-frame motion to be regarded as a word (within an alphabet of possible motions), and the sequence of frames as a phrase whose meaning is determined by the words given in a specific order. This feature extraction mechanism allows a semantic treatment of the classification stage using Conditional Random Fields. The system was applied on the RGB videos of the THETIS dataset, achieving an accuracy of over 86% in recognizing 12 different tennis shots among several takes produced by 55 different amateur and professional players.
Fil: Vainstein, Jonathan Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina
Fil: Manera, José Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computacion; Argentina
Fil: Negri, Pablo Augusto. Universidad Argentina de la Empresa; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina
Fil: Maguitman, Ana Gabriela. Universidad Nacional del Sur. Departamento de Cs.e Ing.de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description We present a novel approach to action recognition in tennis shot sequences. The underlying model considers the per-frame motion to be regarded as a word (within an alphabet of possible motions), and the sequence of frames as a phrase whose meaning is determined by the words given in a specific order. This feature extraction mechanism allows a semantic treatment of the classification stage using Conditional Random Fields. The system was applied on the RGB videos of the THETIS dataset, achieving an accuracy of over 86% in recognizing 12 different tennis shots among several takes produced by 55 different amateur and professional players.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/11845
Vainstein, Jonathan Javier; Manera, José Francisco; Negri, Pablo Augusto; Delrieux, Claudio Augusto; Maguitman, Ana Gabriela; Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos; Springer; Lecture Notes In Computer Science; 8827; 11-2014; 909-916
0302-9743
url http://hdl.handle.net/11336/11845
identifier_str_mv Vainstein, Jonathan Javier; Manera, José Francisco; Negri, Pablo Augusto; Delrieux, Claudio Augusto; Maguitman, Ana Gabriela; Modeling Video Activity with Dynamic Phrases and Its Application to Action Recognition in Tennis Videos; Springer; Lecture Notes In Computer Science; 8827; 11-2014; 909-916
0302-9743
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007%2F978-3-319-12568-8_110
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-12568-8_110
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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