System for the Detection of the Golf Swing Movement Path from Recorded Videos from a Smartphone

  • Jordan Lyrio Federal Institute of Espı́rito Santo
  • Karin Komati Federal Institute of Espı́rito Santo
  • Daniel Trindade Federal Institute of Espı́rito Santo

Abstract


In golf, the movements performed by the player are very important. Among these, one that stands out is the golf swing movement. There are several applications on the market that help players to improve their golf swing. However, these applications are generally not free or even require the user to wear adittional equipment or complex camera configurations to track their movement. In this work we present an algorithm to track the a golfer’s golf swing movement. The system uses image processing techniques to detect and display the trajectory of the golf club. Videos recorded with a smartphone are used as input for the system. In order to assess the system’s effectiveness, the detected trajectory is compared with the real trajectory, wich is defined manually. For the experiments, seven videos with different swing styles and types of background scenarios were used. The results obtained were satisfactory for most of the cases.

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Published
2020-11-11
LYRIO, Jordan; KOMATI, Karin; TRINDADE, Daniel. System for the Detection of the Golf Swing Movement Path from Recorded Videos from a Smartphone. In: REGIONAL SCHOOL ON INFORMATICS OF GOIÁS (ERI-GO), 8. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 181-190. DOI: https://doi.org/10.5753/erigo.2020.13872.