Méthode de prédiction linéaire par morceaux pour le suivi d'action dans le sport
AUJOL, Jean-François
Institut de Mathématiques de Bordeaux [IMB]
Centre National de la Recherche Scientifique [CNRS]
Université de Bordeaux [UB]
Institut Polytechnique de Bordeaux [Bordeaux INP]
Institut de Mathématiques de Bordeaux [IMB]
Centre National de la Recherche Scientifique [CNRS]
Université de Bordeaux [UB]
Institut Polytechnique de Bordeaux [Bordeaux INP]
TRAONMILIN, Yann
Institut de Mathématiques de Bordeaux [IMB]
Centre National de la Recherche Scientifique [CNRS]
Université de Bordeaux [UB]
Institut Polytechnique de Bordeaux [Bordeaux INP]
See more >
Institut de Mathématiques de Bordeaux [IMB]
Centre National de la Recherche Scientifique [CNRS]
Université de Bordeaux [UB]
Institut Polytechnique de Bordeaux [Bordeaux INP]
AUJOL, Jean-François
Institut de Mathématiques de Bordeaux [IMB]
Centre National de la Recherche Scientifique [CNRS]
Université de Bordeaux [UB]
Institut Polytechnique de Bordeaux [Bordeaux INP]
Institut de Mathématiques de Bordeaux [IMB]
Centre National de la Recherche Scientifique [CNRS]
Université de Bordeaux [UB]
Institut Polytechnique de Bordeaux [Bordeaux INP]
TRAONMILIN, Yann
Institut de Mathématiques de Bordeaux [IMB]
Centre National de la Recherche Scientifique [CNRS]
Université de Bordeaux [UB]
Institut Polytechnique de Bordeaux [Bordeaux INP]
< Reduce
Institut de Mathématiques de Bordeaux [IMB]
Centre National de la Recherche Scientifique [CNRS]
Université de Bordeaux [UB]
Institut Polytechnique de Bordeaux [Bordeaux INP]
Language
en
Communication dans un congrès
This item was published in
EUSIPCO 2022, 2022-08-29, Belgrade.
English Abstract
Recent 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 ...Read more >
Recent 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.Read less <
Origin
Hal imported