Sports involve commonly players and equipment of high dynamics. Their location and
motion data are essential for sports digitalization-related applications, such as from …

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 …

Accurate player and ball detection has become increasingly important in recent years for
sport analytics. As most state-of-the-art methods rely on training deep learning networks in a …

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

The paper describes a deep neural network-based detector dedicated for ball and players
detection in high resolution, long shot, video recordings of soccer matches. The detector …

Computer-aided support and analysis are becoming increasingly important in the modern
world of sports. The scouting of potential prospective players, performance as well as match …

Electronic performance & tracking systems (EPTS) are commonly used to track the location
and velocity of athletes in many team sports. A range of associated applications using the …

This paper presents a unified framework to (i) locate the ball,(ii) predict the pose, and (iii)
segment the instance mask of players in team sports scenes. Those problems are of high …

Monitoring the occupancy of public sports facilities is essential to assess their use and to
motivate their construction in new places. In the case of a football field, the area to cover is …

In order to analyse field sport videos, accurate player detection is essential. If players'
positions are identified correctly in video frames, the higher level analysis such as event …