8 citations · 14 across the 4 of their papers we have counts for
4 papers
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis
Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik +1
With the recent progress in sports analytics, deep learning approaches have demonstrated the effectiveness of mining insights into players' tactics for improving performance qualit…
Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng +1
In recent years, badminton analytics has drawn attention due to the advancement of artificial intelligence and the efficiency of data collection. While there is a line of effective…
CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis
Tzu-Han Hsu, Ching-Hsuan Chen, Nyan Ping Ju +8
Computer vision based object tracking has been used to annotate and augment sports video. For sports learning and training, video replay is often used in post-match review and trai…
TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
Yu-Chuan Huang, I-No Liao, Ching-Hsuan Chen +2
Ball trajectory data are one of the most fundamental and useful information in the evaluation of players' performance and analysis of game strategies. Although vision-based object…