Tracking objects in soccer videos is extremely important to gather both player and team
statistics, whether it is to estimate the total distance run, the ball possession or the team …

Accurate player and ball detection has become increasingly important in recent years for
sport analytics. As most state-of-the-art methods rely on training deep learning networks in a …

Training data is a critical requirement for machine learning tasks, and labeled training data
can be expensive to acquire, often requiring manual or semi-automated data collection …

Occlusion pedestrian detection is an important and difficult task in pedestrian detection. At
present, the main method to deal with occlusion pedestrian detection usually adopts …

Ball detection in sports, particularly in fast-paced games like volleyball, where the ball is
constantly in high motion, presents a significant challenge for game analysis and automated …

Machine vision-based automatic anti-bird thorn failure inspection, instead of manual
identification, remains a great challenge. In this paper, we proposed a novel Object Position …

In this study, a performance comparison between the YOLOv7, YOLOv8, and YOLOv9
models in identifying objects in soccer matches is conducted. Parameter adjustments based …

Multi-object tracking (MOT) in ice hockey pursues the combined task of detecting and
associating players across a given sequence to maintain their identities. Tracking players in …