Action Counting

Action counting, the automated quantification of repetitive actions in videos, aims to accurately determine the number of times a specific action occurs, even within long, untrimmed footage. Current research emphasizes robust models capable of handling variations in action execution, viewpoint changes, and interruptions, often employing deep learning architectures like transformers and convolutional neural networks that incorporate spatiotemporal features and multi-geometric information. These advancements are improving accuracy and efficiency, particularly for applications in fields such as sports analysis, fitness tracking, and rehabilitation monitoring where precise action counts are crucial for performance assessment and personalized feedback.