Ball Detection

Ball detection in sports video analysis focuses on accurately locating the ball in real-time, enabling applications like automated game analysis and enhanced broadcasting. Current research emphasizes robust methods for handling challenges like fast motion, occlusion, and varying lighting conditions, often employing deep learning architectures such as YOLO and transformer networks, along with innovative approaches like neuromorphic computing for improved efficiency. These advancements are driving progress in sports analytics, robotics (e.g., table tennis robots), and the creation of more immersive and informative sports viewing experiences.