Comparison of a computer vision system against three-dimensional motion capture for tracking football movements in a stadium environment

Three-dimensional motion capture systems such as Vicon have been used to validate commercial electronic performance and tracking systems. However, three-dimensional motion capture cannot be used for large capture areas such as a full football pitch due to the need for many fragile cameras to be placed around the capture volume and a lack of suitable depth of field of those cameras. There is a need, therefore, for a hybrid testing solution for commercial electronic performance and tracking systems using highly precise three-dimensional motion capture in a small test area and a computer vision system in other areas to test for full-pitch coverage by the commercial systems. This study aimed to establish the validity of VisionKit computer vision system against three-dimensional motion capture in a stadium environment. Ten participants undertook a series of football-specific movement tasks, including a circuit, small-sided games and a 20 m sprint. There was strong agreement between VisionKit and three-dimensional motion capture across each activity undertaken. The root mean square difference for speed was 0.04 m·s-1 and for position was 0.18 m. VisionKit had strong agreement with the criterion three-dimensional motion capture system three-dimensional motion capture for football-related movements tested in stadium environments. VisionKit can thus be used to establish the concurrent validity of other electronic performance and tracking systems in circumstances where three-dimensional motion capture cannot be used.
© Copyright 2022 Sports Engineering. The Faculty of Health & Wellbeing, Sheffield Hallam University. All rights reserved.

Bibliographic Details
Subjects:
Notations:technical and natural sciences sport games
Tagging:Validität
Published in:Sports Engineering
Language:English
Published: 2022
Online Access:https://doi.org/10.1007/s12283-021-00365-y
Volume:25
Issue:1
Pages:2
Document types:article
Level:advanced