MM

As data analysis becomes increasingly significant, streamlining data collection is essential, particularly in sports. Among various aspects, player performance analysis is crucial for both professional and amateur levels. In computer vision, Multi-Object ...

Sport climbing, a discipline demanding high levels of muscular strength, endurance, and cognitive planning, has gained consid erable popularity in recent years. The importance of managing muscle fatigue during climbing, which can substantially impair ...

Understanding human actions from videos is essential in many domains, including sports. In figure skating, technical judgments are performed by watching skaters' 3D movements, and its part of the judging procedure can be regarded as a Temporal Action ...

Understanding decision-making processes is informative for strategic planning. Aiming to understand human risk-taking behavior in decision-making, we investigate the possibility of classifying whether a shot is offensive or not, targeting table tennis ...

In equestrian competitions, the precision of horse movements significantly impacts scoring. Accurate recognition and analysis of these movements can enhance the scoring process. Existing action recognition methods for sports are primarily designed for ...

Ball trajectory data is one of the most fundamental and useful pieces of information for evaluating players' performance and analyzing game strategies in ball sports. Although vision-based object tracking techniques have been developed to analyze sports ...

Reconstructing 3D trajectories from video is often cumbersome and expensive, relying on complex or multi-camera setups. This paper proposes SynthNet, an end-to-end pipeline for monocular reconstruction of 3D tennis ball trajectories. The pipeline ...

Ball tracking based on sports videos captured by high-speed cameras has had limited applicability due to the need for sufficient lighting and the necessity of abundant computational resources to process the large amount of captured data. To overcome ...

Accurate camera calibration is essential for transforming 2D images from camera sensors into 3D world coordinates, enabling precise scene geometry interpretation and supporting sports analytics tasks such as player tracking, offside detection, and ...

Approximately 3,000 on-ball actions occur per match in soccer, and evaluation of individual player actions in a match is essential for strategic decision support and recruitment processes. Previous studies on such evaluation have been conducted to ...

Role classification of players according to their uniform or playing kit in unseen soccer game scenes remains a challenging problem. While multiple methods have being proposed for this task, both handcrafted and deep learning methods have been designed ...

Since the introduction of player positional tracking data to the NBA in 2013, the field of basketball analytics has been steadily developing. As such, more and more teams utilize data-driven approaches to maximize the potential for their team to score a ...

Despite volleyball not being a contact sport, the sport's high-intensity movements - such as jumps, dives, and sprints - pose injury risks to players. In recent years, the surge in computer vision applications within sports has offered robust analysis ...

We developed a system that provides audio descriptions for live baseball broadcasts in real time to enrich the program content. From an accessibility perspective, many visually impaired people would like to have audio descriptions for all broadcast ...