Prediction of Shuttle Trajectory in Badminton Using Player's Position

Yuka Nokihara, Ryosuke Hori, Ryo Hachiuma, Hideo Saito

2023

Abstract

Data analysis in net sports, such as badminton, is becoming increasingly important. This research aims to analyze data so that players can gain an advantage in the fast rally development of badminton matches. We investigate the novel task of predicting future shuttle trajectories in badminton match videos and propose a method that uses shuttle and player position information. In an experiment, we detected players from match videos and trained a time-sequence model. The proposed method outperformed baseline methods that use only the shuttle position information as the input and other methods that use time-sequence models.

Paper Citation

in Harvard Style

Nokihara Y., Hori R., Hachiuma R. and Saito H. (2023). Prediction of Shuttle Trajectory in Badminton Using Player's Position. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 788-795. DOI: 10.5220/0011785800003417

in Bibtex Style

@conference{visapp23,
author={Yuka Nokihara and Ryosuke Hori and Ryo Hachiuma and Hideo Saito},
title={Prediction of Shuttle Trajectory in Badminton Using Player's Position},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP},
year={2023},
pages={788-795},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011785800003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP
TI - Prediction of Shuttle Trajectory in Badminton Using Player's Position
SN - 978-989-758-634-7
AU - Nokihara Y.
AU - Hori R.
AU - Hachiuma R.
AU - Saito H.
PY - 2023
SP - 788
EP - 795
DO - 10.5220/0011785800003417
PB - SciTePress