Camera Calibration and Player Localization in SoccerNet-v2 - CVsports 2021 - #5

In this video, we present our paper: “Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting” published at the CVPR 2021 workshop CVsports. This work introduces a camera calibration and player localization algorithm for the SoccerNet-v2 dataset. Next, a method based on CALF is proposed to investigate different types of representations of this player localization for the task of action spotting.


00:00​​ Introduction
00:29​​ Calibration
01:26​​ Player localization
01:49​​ Top-view representation
02:37​​ Feature vector representation
03:17 Graph representation
04:02 Experiments
05:06​ Conclusion


SoccerNet-v2 authors: Anthony Cioppa*, Adrien Deliège*, Floriane Magera*, Silvio Giancola*, Olivier Barnich, Bernard Ghanem, Marc Van Droogenbroeck.

Link to our website: https://www.soccer-net.org/
Link to the paper: (soon available after CVPR)

Code and pip package to get started with the method:
https://github.com/SilvioGiancola/Soc...
https://pypi.org/project/SoccerNet/​​​

Don’t hesitate to contact us if you have any questions about the paper or the code!


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Video Credits
Background videos from Videezy.com

Music credits
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Juno in The Space Maze - Loopop
Classic - Joakim Karud
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Presentation written by Adrien Deliège and Silvio Giancola.
Video produced and edited by Anthony Cioppa.