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ATM-based analysis and recognition of handball team activities
dc.contributor.author | Montoliu Colás, Raul | |
dc.contributor.author | Martín Félez, Raúl | |
dc.contributor.author | Torres-Sospedra, Joaquín | |
dc.contributor.author | Rodríguez Pérez, Sergio | |
dc.date.accessioned | 2016-06-07T10:57:51Z | |
dc.date.available | 2016-06-07T10:57:51Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | MONTOLIU, Raúl, et al. ATM-based analysis and recognition of handball team activities. Neurocomputing, 2015, vol. 150, Part A, p. 189-199. | ca_CA |
dc.identifier.issn | 0925-2312 | |
dc.identifier.uri | http://hdl.handle.net/10234/160402 | |
dc.description.abstract | In this paper, a new methodology based on the Author Topic Model (ATM) method is presented to perform team activity recognition and analysis in handball videos. Instead of using players׳ trajectories we just rely on low level features related to local motion, the evolution of which is then modeled over time by the ATM. The proposed methodology is applied to the task of recognizing four kinds of team activities in handball videos from the CVBASE׳06 dataset and to analyze which are the most important elements of the activities. Our method is compared with two other ways of characterizing videos based on Bag-of-Words (BoW) and Latent Dirichlet Allocation (LDA) techniques. Our proposal obtains competitive results in terms of accuracy, computing time and interpretation of the results. | ca_CA |
dc.description.sponsorShip | The authors acknowledge the Fundació Caixa-Castelló Bancaixa under project P1-1A2010-11. | ca_CA |
dc.format.extent | 11 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Elsevier | ca_CA |
dc.relation.isPartOf | Neurocomputing, 2015, vol. 150, Part A | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/CNE/1.0/ | * |
dc.subject | team activity recognition | ca_CA |
dc.subject | team activity analysis | ca_CA |
dc.subject | topic modeling | ca_CA |
dc.subject | author topic model | ca_CA |
dc.title | ATM-based analysis and recognition of handball team activities | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1016/j.neucom.2014.09.053 | |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | ca_CA |
dc.relation.publisherVersion | http://www.sciencedirect.com/science/article/pii/S0925231214012600 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
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