Fully automatic annotation of tennis game using broadcast video is a task with a great
potential but with enormous challenges. In this paper we describe our approach to this task …

Tennis game annotation using broadcast video is a task with a wide range of applications. In
particular, ball trajectories carry rich semantic information for the annotation. However …

This paper describes our algorithms for players tracking and ball detection for an automatic
broadcast tennis video annotation. The system detects and tracks the players using a robust …

A key prerequisite of automatic video indexing and summarisation is the description of
events and actions. In the context of many sports, the motion of the ball and agents plays an …

Several tennis ball tracking algorithms have been reported in the literature. However, most
of them use high quality video and multiple cameras, and the emphasis has been on …

As a result of the increasing demand for higher quality in sports broadcasting, sports video
analysis has become a popular research field in computer vision. Innovative replays, content …

In this paper we describe a system for the automatic annotation of tennis matches. The goal
is to provide annotation at all levels, from shot detection to a complete breakdown of the …

Human gesture recognition plays an important role in automating the analysis of video
material at a high level. Especially in sports videos, the determination of the player's …

Computer systems that have the capability of analyzing complex and dynamic scenes play
an essential role in video annotation. Scenes can be complex in such a way that there are …

A key question in machine perception is how to adaptively build upon existing capabilities
so as to permit novel functionalities. Implicit in this are the notions of anomaly detection and …