Abstract Human Action Recognition (HAR) is a challenging task used in sports such as
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …

The SoccerNet 2023 challenges were the third annual video understanding challenges
organized by the SoccerNet team. For this third edition, the challenges were composed of …

Tracking and identifying athletes on the pitch holds a central role in collecting essential
insights from the game such as estimating the total distance covered by players or …

Automated techniques for evaluating sports activities inside dynamic frames are highly
dependent on advanced sports analysis by smart machines. The monitoring of individuals …

Soccer is more than just a game-it is a passion that transcends borders and unites people
worldwide. From the roar of the crowds to the excitement of the commentators, every …

Soccer videos are a rich playground for computer vision, involving many elements, such as
players, lines, and specific objects. Hence, to capture the richness of this sport and allow for …

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 …

Many believe that the successes of deep learning on image understanding problems can be
replicated in the realm of video understanding. However, due to the scale and temporal …

We present a model for temporally precise action spotting in videos, which uses a dense set
of detection anchors, predicting a detection confidence and corresponding fine-grained …

Action Spotting in the broadcast soccer game is important to understand salient actions and
video summary applications. In this paper, we propose an efficient transformer-based …