Abstract

This paper describes a system for the automatic detection and tracking of a ball trajectory during a free throw. The tracking method is based on a particle swarm optimization (PSO) algorithm. The proposed method allows for the measurement of selected parameters of a basketball free throw trajectory. Ten parameters (four distances, three velocities, and three angle parameters) were taken into account. The research material included 200 sequences captured by a 100 Hz monocular camera. The study was based on a group of 30 basketball players who played in the Polish Second Division during the 2015/2016 season and the Youth Polish National Team in 2017. The experimental results showed the differences between the parameters in both missed and hit throws. The proposed system may be used in the training process as a tool to improve the technique of the free throw in basketball.

Highlights

  • An important issue in sport is to analyse the factors that influence the achievement of the best sports results

  • The system developed for ball tracking was evaluated in 20 video sequences of the basketball free throw

  • The paper presents a system for ball detection, tracking and trajectory analysis during a basketball free throw

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Summary

Introduction

An important issue in sport is to analyse the factors that influence the achievement of the best sports results. There are elements whose performance has a direct impact on the final outcome. One such element in basketball includes the free throw which is very crucial in this kind of sport; it is essential to go through a scientific analysis to improve the free throw skills and hit rate of basketball players [1]. A free throw is a special component of the technical preparation of every player, which is based on automatic movement. It is always performed in the same way (with a suitable rhythm and speed). A substantial body of research into the different aspects of basketball has been carried out to date [2,3,4,5,6]

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