Human Activity Recognition

Human Activity Recognition is an important subtask in the field of computer vision, aimed at automatically identifying and classifying various human activities by analyzing patterns of actions in video or image sequences. The goal is to develop algorithms and models that can accurately capture and understand human posture, movement trajectories, and their spatiotemporal features, thereby achieving fine-grained recognition of complex activities. Its applications are extensive, including intelligent surveillance, human-computer interaction, healthcare, and sports training, significantly enhancing the intelligence level of systems and user experience.