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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/11845
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:40:15Zoai: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:34982025-09-29 09:40:16.008CONICET 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 |
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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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