S-amba: A Multi-View Foul Recognition in Soccer Through a Mamba-Based Approach

Henry Velesaca, Henry Velesaca, Alice Gomez-Cantos, Alice Gomez-Cantos, Abel Reyes-Angulo, Steven Araujo

2025

Abstract

In this work, we propose a novel Mamba-based multi-task framework for multi-view foul recognition. Our approach leverages the Mamba architecture’s efficient long-range dependency modeling to process synchronized multi-view video inputs, enabling robust foul detection and classification in soccer matches. By integrating spatial-temporal feature extraction with a multi-task learning strategy, our model simultaneously predicts foul occurrences, identifies foul types, and localizes key events across multiple camera angles. We employ a hybrid loss function to balance classification and localization objectives, enhancing performance on diverse foul scenarios. Extensive experiments on the SoccerNet-MVFoul dataset demonstrate our method’s superior accuracy and efficiency compared to traditional CNN and Transformer-based models. Our framework achieves competitive results, offering a scalable and real-time solution for automated foul recognition, advancing the application of computer vision in sports analytics. The codebase is publicly available at https://github.com/areyesan/Mamba-Based MVFR for reproducibility.

Paper Citation

in Harvard Style

Velesaca H., Gomez-Cantos A., Reyes-Angulo A. and Araujo S. (2025). S-amba: A Multi-View Foul Recognition in Soccer Through a Mamba-Based Approach. In Proceedings of the 13th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS; ISBN 978-989-758-771-9, SciTePress, pages 57-68. DOI: 10.5220/0013682500003988

in Bibtex Style

@conference{icsports25,
author={Henry Velesaca and Alice Gomez-Cantos and Abel Reyes-Angulo and Steven Araujo},
title={S-amba: A Multi-View Foul Recognition in Soccer Through a Mamba-Based Approach},
booktitle={Proceedings of the 13th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS},
year={2025},
pages={57-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013682500003988},
isbn={978-989-758-771-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS
TI - S-amba: A Multi-View Foul Recognition in Soccer Through a Mamba-Based Approach
SN - 978-989-758-771-9
AU - Velesaca H.
AU - Gomez-Cantos A.
AU - Reyes-Angulo A.
AU - Araujo S.
PY - 2025
SP - 57
EP - 68
DO - 10.5220/0013682500003988
PB - SciTePress