TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos

1 code implementation • 24 Mar 2025 • Kazuhiro Yamada, Li Yin, Qingrui Hu, Ning Ding, Shunsuke Iwashita, Jun Ichikawa, Kiwamu Kotani, Calvin Yeung, Keisuke Fujii

In this paper, we propose the TrackID3x3 dataset, the first publicly available comprehensive dataset specifically designed for multi-player tracking, player identification, and pose estimation in 3x3 basketball scenarios.

Game State Reconstruction Multi-Object Tracking +2