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 …

To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

Sports analysis has gained paramount importance for coaches, scouts, and fans. Recently,
computer vision researchers have taken on the challenge of collecting the necessary data …

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 …

Calibrating narrow field of view soccer cameras is challenging because there are very few
field markings in the image. Unlike previous solutions, we propose a two-point method …

Soccer is a popular sport, and there is a growing need for automated analysis of soccer
videos, while the detection and tracking of the players is the indispensable prerequisite. In …

Vision-based player detection and classification are important in sports applications.
Accuracy, efficiency, and low memory consumption are desirable for real-time tasks such as …

The accurate detection of ice hockey players and teams during a game is crucial to the
tracking of individual players on the rink and team tactical decision making and is therefore …