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 …

Calibrating sports cameras is important for autonomous broadcasting and sports analysis.
Here we propose a highly automatic method for calibrating sports cameras from a single …

Camera relocalization plays a vital role in many robotics and computer vision tasks, such as
global localization, recovery from tracking failure, and loop closure detection. Recent …

Group activity recognition in sports is often challenging due to the complex dynamics and
interaction among the players. In this paper, we propose a recurrent neural network to …

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 …

We investigate the problem of 6 degrees of freedom (DOF) camera planning for filming
professional human motion videos using a camera drone. Existing methods either plan …

Aerial vehicles are revolutionizing the way filmmakers can capture shots of actors by
composing novel aerial and dynamic viewpoints. However, despite great advancements 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 …

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

In the last decades, the automation process has improved humans' daily life. As technology
continues to evolve, software and machines are increasingly being used to automate …