6 citations · 14 across the 15 of their papers we have counts for
10 papers · 1 filter
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…
KASportsFormer: Kinematic Anatomy Enhanced Transformer for 3D Human Pose Estimation on Short Sports Scene Video
Zhuoer Yin, Calvin Yeung, Tomohiro Suzuki +2
Recent transformer based approaches have demonstrated impressive performance in solving real-world 3D human pose estimation problems. Albeit these approaches achieve fruitful resul…
AthleticsPose: Authentic Sports Motion Dataset on Athletic Field and Evaluation of Monocular 3D Pose Estimation Ability
Tomohiro Suzuki, Ryota Tanaka, Calvin Yeung +1
Monocular 3D pose estimation is a promising, flexible alternative to costly motion capture systems for sports analysis. However, its practical application is hindered by two factor…
AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movements
Calvin Yeung, Tomohiro Suzuki, Ryota Tanaka +2
Human pose estimation is a critical task in computer vision and sports biomechanics, with applications spanning sports science, rehabilitation, and biomechanical research. While si…
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,…
Space evaluation based on pitch control using drone video in Ultimate
Shunsuke Iwashita, Atom Scott, Rikuhei Umemoto +2
Ultimate is a sport in which teams of seven players compete for points by passing a disc into the end zone. A distinctive aspect of Ultimate is that the player holding the disc is…
Basketball-SORT: An Association Method for Complex Multi-object Occlusion Problems in Basketball Multi-object Tracking
Qingrui Hu, Atom Scott, Calvin Yeung +1
Recent deep learning-based object detection approaches have led to significant progress in multi-object tracking (MOT) algorithms. The current MOT methods mainly focus on pedestria…
AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements
Calvin Yeung, Kenjiro Ide, Keisuke Fujii
Image understanding is a foundational task in computer vision, with recent applications emerging in soccer posture analysis. However, existing publicly available datasets lack comp…
TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos
Atom Scott, Ikuma Uchida, Ning Ding +7
Multi-object tracking (MOT) is a critical and challenging task in computer vision, particularly in situations involving objects with similar appearances but diverse movements, as s…
Foul prediction with estimated poses from soccer broadcast video
Jiale Fang, Calvin Yeung, Keisuke Fujii
Recent advances in computer vision have made significant progress in tracking and pose estimation of sports players. However, there have been fewer studies on behavior prediction w…