Tennis motion recognition. Desing of classification approaches and experimental studies

This monograph presents studies concerning the challenging topic of Human Action Recognition,
which has recently become of increasing importance to those working in the field of Computer
Vision. It contains an overview of the research literature on tennis movements recognition based
on video, images, motion capture data, and data registered using various sensors.
In this monograph, three novel methods of tennis movements recognition are presented in
detail with success, achieving high performance of the proposed classifiers. They all utilize Graph
Convolutional Neural networks (GCN) solutions.

(ze Streszczenia)