Human movement datasets: An interdisciplinary scoping review

T Olugbade, M Bieńkiewicz, G Barbareschi… - ACM Computing …, 2022 - dl.acm.org
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos

A Cioppa, S Giancola, A Deliege… - Proceedings of the …, 2022 - openaccess.thecvf.com
Tracking objects in soccer videos is extremely important to gather both player and team
statistics, whether it is to estimate the total distance run, the ball possession or the team …

Soccernet-v2: A dataset and benchmarks for holistic understanding of broadcast soccer videos

A Deliege, A Cioppa, S Giancola… - Proceedings of the …, 2021 - openaccess.thecvf.com
Understanding broadcast videos is a challenging task in computer vision, as it requires
generic reasoning capabilities to appreciate the content offered by the video editing. In this …

Techniques and applications for soccer video analysis: A survey

C Cuevas, D Quilón, N García - Multimedia Tools and Applications, 2020 - Springer
Nowadays, soccer is the most popular sport in our society, followed by millions of people.
Consequently, many video analysis applications have been developed in the last years to …

Beyond the Premier: Assessing action spotting transfer capability across diverse domains

B Cabado, A Cioppa, S Giancola… - Proceedings of the …, 2024 - openaccess.thecvf.com
Football stands as one of the most successful sports in history thanks to the plethora of
professional leagues broadcasted worldwide followed by avid fans further fueled by the …

A survey on video action recognition in sports: Datasets, methods and applications

F Wu, Q Wang, J Bian, N Ding, F Lu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

X-vars: Introducing explainability in football refereeing with multi-modal large language models

J Held, H Itani, A Cioppa, S Giancola… - Proceedings of the …, 2024 - openaccess.thecvf.com
The rapid advancement of artificial intelligence has led to significant improvements in
automated decision-making. However the increased performance of models often comes at …

Scaling up SoccerNet with multi-view spatial localization and re-identification

A Cioppa, A Deliege, S Giancola, B Ghanem… - Scientific data, 2022 - nature.com
Soccer videos are a rich playground for computer vision, involving many elements, such as
players, lines, and specific objects. Hence, to capture the richness of this sport and allow for …

SoccerNet game state reconstruction: End-to-end athlete tracking and identification on a minimap

V Somers, V Joos, A Cioppa… - Proceedings of the …, 2024 - openaccess.thecvf.com
Tracking and identifying athletes on the pitch holds a central role in collecting essential
insights from the game such as estimating the total distance covered by players or …

SoccerNet-caption: Dense video captioning for soccer broadcasts commentaries

H Mkhallati, A Cioppa, S Giancola… - Proceedings of the …, 2023 - openaccess.thecvf.com
Soccer is more than just a game-it is a passion that transcends borders and unites people
worldwide. From the roar of the crowds to the excitement of the commentators, every …