Prediction of Shuttle Trajectory in Badminton Using Player

Yuka Nokihara; Ryosuke Hori; Ryo Hachiuma; Hideo Saito

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Paper

Prediction of Shuttle Trajectory in Badminton Using Player's Position

Topics: Deep Learning for Visual Understanding ; Object Detection and Localization

In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP, 788-795, 2023 , Lisbon, Portugal

Authors: Yuka Nokihara ; Ryosuke Hori ; Ryo Hachiuma and Hideo Saito

Affiliation: Department of Information and Computer Science, Keio University, Yokohama, Japan

Keyword(s): Trajectory Prediction, Sports Analysis, Time-Sequence Model.

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.

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Paper citation in several formats:

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; ISSN 2184-4321, SciTePress, pages 788-795. DOI: 10.5220/0011785800003417

@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},
issn={2184-4321},
}

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
IS - 2184-4321
AU - Nokihara, Y.
AU - Hori, R.
AU - Hachiuma, R.
AU - Saito, H.
PY - 2023
SP - 788
EP - 795
DO - 10.5220/0011785800003417
PB - SciTePress