Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification

Jakub Eichner, Jan Nowak, Jan Nowak, Bartłomiej Grzelak, Bartłomiej Grzelak, Tomasz Górecki, Tomasz Piłka, Krzysztof Dyczkowski

2025

Abstract

This paper introduces an integrated pipeline for detecting, classifying, and tracking key objects within soccer match footage. Our research uses datasets from KKS Lech Poznań, SoccerDB, and SoccerNet, considering various stadium environments and technical conditions, such as equipment quality and recording clarity. These factors mirror the real-world scenarios encountered in competitions, training sessions, and observations. We assessed the effectiveness of cutting-edge object detection models, focusing on several R-CNN frameworks and the YOLOv8 methodology. Additionally, for assigning players to their respective teams, we compared the performance of the K-means algorithm with that of the Multi-Modal Vision Transformer CogVLM model. Despite challenges like suboptimal video resolution and fluctuating weather conditions, our proposed solutions have successfully demonstrated high precision in detecting and classifying key elements such as players and the ball within soccer match footage. These findings establish a robust basis for further video analysis in soccer, which could enhance tactical strategies and the automation of match summarization.

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Paper Citation


in Harvard Style

Eichner J., Nowak J., Grzelak B., Górecki T., Piłka T. and Dyczkowski K. (2025). Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 808-815. DOI: 10.5220/0013377100003912


in Bibtex Style

@conference{visapp25,
author={Jakub Eichner and Jan Nowak and Bartłomiej Grzelak and Tomasz Górecki and Tomasz Piłka and Krzysztof Dyczkowski},
title={Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2025},
pages={808-815},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013377100003912},
isbn={978-989-758-728-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification
SN - 978-989-758-728-3
AU - Eichner J.
AU - Nowak J.
AU - Grzelak B.
AU - Górecki T.
AU - Piłka T.
AU - Dyczkowski K.
PY - 2025
SP - 808
EP - 815
DO - 10.5220/0013377100003912
PB - SciTePress