Practical Sports Video Analysis at Qoncept: A Few Case Studies

Analyzing sports scenarios through video processing is an enticing approach to sports analytics, especially due to the lack of need to attach sensors to the measured target. However, it has many challenges inherent to inverse problems such as multidimensionality of the data and the noise in the measurements. There are also many practical challenges to providing a working computer vision -based solution such as equipment installation constraints and including these in the system design, and dealing with outside factors such as weather changes. We take a look at these various challenges through a few case studies. We go through both the algorithmic and practical issues faced when working on these problems, and as a result, hope to identify common problems when working in the field and through them construct a useful framework for building computer vision -based solutions to sports analysis problems.