Use of deep learning in soccer videos analysis: survey
The demand for video analysis has been rapidly increasing in the last decade. Video
analysis plays a critical role in various technologies, including medical diagnosis, security …
analysis plays a critical role in various technologies, including medical diagnosis, security …
Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos
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 …
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
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 …
generic reasoning capabilities to appreciate the content offered by the video editing. In this …
Beyond the Premier: Assessing action spotting transfer capability across diverse domains
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 …
professional leagues broadcasted worldwide followed by avid fans further fueled by the …
SoccerTrack: A dataset and tracking algorithm for soccer with fish-eye and drone videos
Tracking devices that can track both players and balls are critical to the performance of
sports teams. Recently, significant effort has been focused on building larger broadcast …
sports teams. Recently, significant effort has been focused on building larger broadcast …
A survey on video action recognition in sports: Datasets, methods and applications
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …
approach. Compared with image-based action recognition, videos provide much more …
X-vars: Introducing explainability in football refereeing with multi-modal large language models
The rapid advancement of artificial intelligence has led to significant improvements in
automated decision-making. However the increased performance of models often comes at …
automated decision-making. However the increased performance of models often comes at …
Scaling up SoccerNet with multi-view spatial localization and re-identification
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 …
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
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 …
insights from the game such as estimating the total distance covered by players or …
SoccerNet-caption: Dense video captioning for soccer broadcasts commentaries
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 …
worldwide. From the roar of the crowds to the excitement of the commentators, every …