Jersey Number

Jersey number recognition (JNR) in sports video analysis aims to automatically identify player jersey numbers, a crucial task for player tracking and various sports analytics applications. Current research focuses on improving JNR accuracy using deep learning models, such as convolutional neural networks and transformers, often incorporating multi-task learning and techniques to address challenges like occlusion, low resolution, and varying camera angles. Researchers are also exploring the use of synthetic data augmentation and keyframe identification to enhance model performance and generalization across different sports and video qualities. The advancements in JNR contribute significantly to automated sports video analysis, enabling more efficient player tracking, performance evaluation, and broadcast production.