Abstract
Tracking systems in sports aim to record the athlete’s position as a function of
time. From these data, information on physical, tactical and technical
performance is obtained and assists coaches and players in decision-making
during the training and competition routine. The implementation, feasibility,
and quality of data generated by tracking systems depend on the conditions of
each sporting environment and their requirements. This narrative review
addresses the fundamentals of the main tracking systems, including algorithms
based on computer vision and artificial intelligence for processing videos and
global (global positioning system and global navigation satellite system) and
local positioning systems. We also address technological advances for obtaining
data from human pose estimation and the main validation or quality analysis
studies of each method. Finally, we present a series of recommendations and
future directions for the evaluation and development of automatic and accurate
athlete tracking tools.
Keywords
electronic performance and tracking system - global positioning system - global navigation
satellite system - human pose estimation - multiple people tracking - artificial intelligence