Méthode de prédiction linéaire par morceaux pour le suivi d'action dans le sport

BALDANZA, Axel; AUJOL, Jean-François; TRAONMILIN, Yann; ALARY, François

Metadatos

Licencia de uso del documento

BALDANZA, Axel
Institut de Mathématiques de Bordeaux [IMB]
Université de Bordeaux [UB]
Rematch

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]

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]

Idioma

Communication dans un congrès

Este ítem está publicado en

EUSIPCO 2022, 2022-08-29, Belgrade.

Resumen en inglés

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.< Leer menos

Metadatos

Compartir este ítem

Licencia de uso del documento