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 …

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 …

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 …

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 …

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 …

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 …

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 …

We present iBall, a basketball video-watching system that leverages gaze-moderated
embedded visualizations to facilitate game understanding and engagement of casual fans …

Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …

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 …