Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS). (arXiv:2209.00451v1 [cs.LG])

Like many team sports, basketball involves two groups of players who engage
in collaborative and adversarial activities to win a game. Players and teams
are executing various complex strategies to gain an advantage over their
opponents. Defining, identifying, and analyzing different types of activities
is an important task in sports analytics, as it can lead to better strategies
and decisions by the players and coaching staff. The objective of this paper is
to automatically recognize basketball group activities from tracking …

arxiv basketball data sports team tracking tracking data