4 citations · 9 across the 7 of their papers we have counts for
8 papers
Prediction-based evaluation of back-four defense with spatial control in soccer
Soujanya Dash, Kenjiro Ide, Rikuhei Umemoto +2
Defensive organization is critical in soccer, particularly during negative transitions when teams are most vulnerable. The back-four defensive line plays a decisive role in prevent…
Velocity Completion Task and Method for Event-based Player Positional Data in Soccer
Rikuhei Umemoto, Keisuke Fujii
In many real-world complex systems, the behavior can be observed as a collection of discrete events generated by multiple interacting agents. Analyzing the dynamics of these multi-…
Space evaluation at the starting point of soccer transitions
Yohei Ogawa, Rikuhei Umemoto, Keisuke Fujii
Soccer is a sport played on a pitch where effective use of space is crucial. Decision-making during transitions, when possession switches between teams, has been increasingly impor…
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…
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…