4 papers
R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning
Haobin Qin, Baofeng Zhang, Hidehisa Akiyama +1
Robot soccer is a challenging testbed for multi-agent reinforcement learning because it combines partial observability, cooperative and adversarial interaction, sparse rewards, and…
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…
SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection
Haobin Qin, Calvin Yeung, Rikuhei Umemoto +1
In soccer video analysis, player detection is essential for identifying key events and reconstructing tactical positions. The presence of numerous players and frequent occlusions,…
SoccerSynth Field: enhancing field detection with synthetic data from virtual soccer simulator
HaoBin Qin, Jiale Fang, Keisuke Fujii
Field detection in team sports is an essential task in sports video analysis. However, collecting large-scale and diverse real-world datasets for training detection models is often…