3 papers
cs.CV2026
Mesh-Aware Epipolar Matching for Multi-View Multi-Person 3D Pose Estimation in Basketball
Li Yin, Qin Haobin, Tomohiro Suzuki +3
Multi-view multi-person 3D pose estimation in team sports scenarios remains challenging due to player occlusions, appearance similarity caused by team uniforms, and the scarcity of…
cs.CV2025
TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos
Kazuhiro Yamada, Li Yin, Qingrui Hu +6
Multi-object tracking, player identification, and pose estimation are fundamental components of sports analytics, essential for analyzing player movements, performance, and tactica…
cs.CV2024
Enhanced Multi-Object Tracking Using Pose-based Virtual Markers in 3x3 Basketball
Li Yin, Calvin Yeung, Qingrui Hu +4
Multi-object tracking (MOT) is crucial for various multi-agent analyses such as evaluating team sports tactics and player movements and performance. While pedestrian tracking has a…