Repetition Counting

Repetition counting in videos focuses on automatically identifying and quantifying the number of times a specific action or motion repeats within a video sequence. Current research emphasizes developing robust and efficient algorithms, often employing transformer-based models, attention mechanisms, and dynamic query representations to handle variations in video length, action complexity, and viewpoint. These advancements aim to improve accuracy and scalability, particularly for open-vocabulary scenarios and long video sequences, impacting applications such as fitness tracking, surveillance, and human-computer interaction. The field is also exploring online processing methods to enable real-time repetition analysis.