SoccerNet 2022 Challenges Results

TL;DR

The SoccerNet 2022 Challenges presented new benchmarks and tasks for video understanding in soccer, including action spotting, replay grounding, pitch localization, camera calibration, player re-identification, and object tracking, with improved evaluation metrics.

Contribution

This paper introduces six new vision-based soccer video understanding tasks and benchmarks, expanding upon previous challenges with new data, annotations, and evaluation criteria.

Findings

New tasks and datasets introduced for soccer video analysis.

Enhanced evaluation metrics for action spotting and replay grounding.

Baseline results provided for all tasks.

Abstract

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long untrimmed videos, (2) replay grounding, focusing on retrieving the live moment of an action shown in a replay, (3) pitch localization, focusing on detecting line and goal part elements, (4) camera calibration, dedicated to retrieving the intrinsic and extrinsic camera parameters, (5) player re-identification, focusing on retrieving the same players across multiple views, and (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams. Compared to last year's challenges, tasks (1-2) had their evaluation metrics redefined to consider tighter temporal accuracies, and tasks (3-6) were novel, including their underlying data and annotations. More information on the tasks, challenges and leaderboards are available on https://www.soccer-net.org. Baselines and development kits are available on https://github.com/SoccerNet.