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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierRematch
dc.contributor.authorBALDANZA, Axel
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
dc.contributor.authorAUJOL, Jean-François
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
dc.contributor.authorTRAONMILIN, Yann
hal.structure.identifierRematch
dc.contributor.authorALARY, François
dc.date.accessioned2024-04-04T02:41:15Z
dc.date.available2024-04-04T02:41:15Z
dc.date.conference2022-08-29
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191135
dc.description.abstractEnRecent tracking methods in professional team sports reach very high accuracy by tracking the ball and players. However, it remains difficult for these methods to perform accurate real-time tracking in amateur acquisition conditions where the vertical position or orientation of the camera is not controlled and cameras use heterogeneous sensors. This article presents a method for tracking interesting content in an amateur sport game by analyzing player displacements. Defining optical flow of the foreground in the image as the player motions, we propose a piecewise linear supervised learning model for predicting the camera global motion needed to follow the action.
dc.language.isoen
dc.titleMéthode de prédiction linéaire par morceaux pour le suivi d'action dans le sport
dc.title.enPiecewise linear prediction model for action tracking in sports
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
dc.subject.halInformatique [cs]/Traitement des images
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleEUSIPCO 2022
bordeaux.countryRS
bordeaux.conference.cityBelgrade
bordeaux.peerReviewedoui
hal.identifierhal-03563325
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2022-09-02
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03563325v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=M%C3%A9thode%20de%20pr%C3%A9diction%20lin%C3%A9aire%20par%20morceaux%20pour%20le%20suivi%20d'action%20dans%20le%20sport&rft.atitle=M%C3%A9thode%20de%20pr%C3%A9diction%20lin%C3%A9aire%20par%20morceaux%20pour%20le%20suivi%20d'action%20dans%20le%20sport&rft.au=BALDANZA,%20Axel&AUJOL,%20Jean-Fran%C3%A7ois&TRAONMILIN,%20Yann&ALARY,%20Fran%C3%A7ois&rft.genre=unknown


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