  In this paper, we explore some of the applications of computer vision to
sports analytics. Sport analytics deals with understanding and discovering
patterns from a corpus of sports data. Analysing such data provides important
performance metrics for the players, for instance in soccer matches, that could
be useful for estimating their fitness and strengths. Team level statistics can
also be estimated from such analysis. This paper mainly focuses on some the
challenges and opportunities presented by sport video analysis in computer
vision. Specifically, we use our multi-camera setup as a framework to discuss
some of the real-life challenges for machine learning algorithms.
