9 citations · 11 across the 6 of their papers we have counts for
6 papers
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs
Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda +1
Automatic evaluating systems are fundamental issues in sports technologies. In many sports, such as figure skating, automated evaluating methods based on pose estimation have been…
Audio Difference Learning for Audio Captioning
Tatsuya Komatsu, Yusuke Fujita, Kazuya Takeda +1
This study introduces a novel training paradigm, audio difference learning, for improving audio captioning. The fundamental concept of the proposed learning method is to create a f…
Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes
Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
Automatic fault detection is a major challenge in many sports. In race walking, referees visually judge faults according to the rules. Hence, ensuring objectivity and fairness whil…
Pitching strategy evaluation via stratified analysis using propensity score
Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii
Recent measurement technologies enable us to analyze baseball at higher levels. There are, however, still many unclear points around the pitching strategy. The two elements make it…
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction
Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda +1
Evaluating the individual movements for teammates in soccer players is crucial for assessing teamwork, scouting, and fan engagement. It has been said that players in a 90-min game…
RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments
Yafu Tian, Alexander Carballo, Ruifeng Li +1
Behavioral and semantic relationships play a vital role on intelligent self-driving vehicles and ADAS systems. Different from other research focused on trajectory, position, and bo…