Sport Video

Sports video analysis utilizes computer vision to automatically extract meaningful information from game footage, primarily focusing on tasks like action spotting, player identification (often via jersey numbers), and event detection. Current research heavily employs deep learning, particularly convolutional neural networks (CNNs), including 3D CNNs and transformer architectures, often enhanced with attention mechanisms and techniques like masked autoencoders to address challenges such as motion blur and occlusions. This field is significant for enhancing sports analytics, providing coaches and analysts with detailed performance metrics and insights, and improving fan engagement through automated highlight generation and interactive video experiences.