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 …
A universal protocol to benchmark camera calibration for sports
Camera calibration is a crucial component in the realm of sports analytics as it serves as the
foundation to extract 3D information out of the broadcast images. Despite the significance of …
foundation to extract 3D information out of the broadcast images. Despite the significance of …
Deepsportradar-v1: Computer vision dataset for sports understanding with high quality annotations
With the recent development of Deep Learning applied to Computer Vision, sport video
understanding has gained a lot of attention, providing much richer information for both sport …
understanding has gained a lot of attention, providing much richer information for both sport …
Camera calibration and player localization in soccernet-v2 and investigation of their representations for action spotting
Soccer broadcast video understanding has been drawing a lot of attention in recent years
within data scientists and industrial companies. This is mainly due to the lucrative potential …
within data scientists and industrial companies. This is mainly due to the lucrative potential …
A review on camera calibration in soccer videos
M Manafifard - Multimedia Tools and Applications, 2024 - Springer
Camera calibration has attracted much attention, as a primary step of various soccer game
analyses, such as real-world player tracking and offside detection. Moreover, metric …
analyses, such as real-world player tracking and offside detection. Moreover, metric …
Sportscap: Monocular 3d human motion capture and fine-grained understanding in challenging sports videos
Markerless motion capture and understanding of professional non-daily human movements
is an important yet unsolved task, which suffers from complex motion patterns and severe …
is an important yet unsolved task, which suffers from complex motion patterns and severe …
iball: Augmenting basketball videos with gaze-moderated embedded visualizations
We present iBall, a basketball video-watching system that leverages gaze-moderated
embedded visualizations to facilitate game understanding and engagement of casual fans …
embedded visualizations to facilitate game understanding and engagement of casual fans …
A survey of deep learning in sports applications: Perception, comprehension, and decision
Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …
ranging from perception and comprehension to decision. This paper presents a …
[HTML][HTML] Individual locating of soccer players from a single moving view
Positional data in team sports is key in evaluating the players' individual and collective
performances. When the sole source of data is a broadcast-like video of the game, an …
performances. When the sole source of data is a broadcast-like video of the game, an …