Player Tracking using Multi-viewpoint Images in Basketball Analysis

Shuji Tanikawa, Norio Tagawa

2020

Abstract

In this study, we aim to realize the automatic tracking of basketball players by avoiding occlusion of players, which is an important issue in basketball video analysis, using multi-viewpoint images. Images taken with a hand-held camera are used, to expand the scope of application to uses such as school club activities. By integrating the player tracking results from each camera image with a 2-D map viewed from above the court, using projective transformation, the occlusion caused by one camera is stably solved using the information from other cameras. In addition, using OpenPose for player detection reduces the occlusion that occurs in each camera image before all camera images are integrated. We confirm the effectiveness of our method by experiments with real image sequences.

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Paper Citation


in Harvard Style

Tanikawa S. and Tagawa N. (2020). Player Tracking using Multi-viewpoint Images in Basketball Analysis. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 813-820. DOI: 10.5220/0009097408130820


in Bibtex Style

@conference{visapp20,
author={Shuji Tanikawa and Norio Tagawa},
title={Player Tracking using Multi-viewpoint Images in Basketball Analysis},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={813-820},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009097408130820},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Player Tracking using Multi-viewpoint Images in Basketball Analysis
SN - 978-989-758-402-2
AU - Tanikawa S.
AU - Tagawa N.
PY - 2020
SP - 813
EP - 820
DO - 10.5220/0009097408130820
PB - SciTePress