Human-Object Relationship Detection

Human-Object Relationship Detection (HOR detection) is a key technology in the field of computer vision, aimed at identifying the interactions between humans and objects in images or videos. This technology analyzes visual information in scenes to accurately capture patterns of human interaction with surrounding objects, thereby enabling a deeper understanding of complex scenarios. The goal of HOR detection is not only to recognize people and objects but also to parse the relationships between them, such as "using" or "carrying." This technology has significant application value in areas like intelligent surveillance, human-computer interaction, and behavior analysis, significantly enhancing the intelligence level of systems and user experience.