doi: 10.18178/ijfcc.2023.12.4.607
Footy Forecast – Measuring Performance in Football
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Chirag Rohra
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- Department of Information Technology Dwarkadas J. Sanghvi College of Engineering, Mumbai, India
Abstract
This paper proposes a novel approach to detect andevaluate players in football using Voronoi diagrams and a set ofmetrics devised by the author. The proposed method is based onthe idea that the performance of a player can be evaluated byanalyzing the area of the field they cover during a match. Toachieve this, the positions of all players on the field are firstdetected using computer vision techniques. Then, Voronoidiagrams are used to partition the field into regions that arecloser to a particular player than any other. The area of eachplayer's Voronoi region is calculated and compared to theaverage area of all regions to determine their level of play.The set of metrics used to evaluate a player's performance isbased on the time spent in different regions of the field, thedistance covered, and the number of successful passes, amongothers. The proposed method is evaluated on a dataset offootball matches and compared with existing methods for playerevaluation. The results show that the proposed approachoutperforms existing methods in terms of accuracy andefficiency. Overall, this paper provides a promising newdirection for player evaluation in football using computer visionand Voronoi diagrams.
Keywords
- Player detection
- player tracking
- voronoi
- opencv
- YOLOv5
How to Cite
Shlok Asher, Monika Mangla, Chirag Rohra, Soham Desai, and Neha Agarwal, "Footy Forecast – Measuring Performance in Football," International Journal of Future Computer and Communication, vol. 12, no. 4, pp. 77-83, 2023. https://doi.org/ 10.18178/ijfcc.2023.12.4.607
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).