Composite Action Recognition

Composite action recognition is an important research direction in computer vision, aiming to identify and understand complex human behaviors by analyzing combinations of multiple actions in video sequences. The goal of this technology is to improve the accuracy and robustness of action recognition to handle the varied action patterns and environmental factors present in real-world scenarios. Its application value is extensive, including intelligent surveillance, human-computer interaction, and motion analysis, providing automated systems with more refined behavioral understanding capabilities.