Human Interaction Recognition

Human Interaction Recognition (HIR) is an important branch of computer vision that focuses on developing algorithms to automatically detect and recognize human interactions in multimedia content such as videos and images. Its core objective is to accurately analyze social interactions, body language, and facial expressions between people, thereby providing key technical support for applications like intelligent surveillance, affective computing, and behavioral analysis.