HAI Seminar with Michael Rau: Using Pose and Action Estimation to Analyze Theater Performances скачать в хорошем качестве

HAI Seminar with Michael Rau: Using Pose and Action Estimation to Analyze Theater Performances

At this HAI research seminar, Stanford scholars presented a project that uses machine learning and computer vision to analyze directorial styles in theater performances. By applying pose and action recognition techniques to video recordings, the team compares different productions by the same director to identify patterns in choreography and staging. This method combines distant and close viewing approaches, enhancing the understanding of gestures and movements in theater. The project aims to decode directorial style, bridging the fields of performing arts and computer science and offering new insights into theatrical analysis. This seminar was recorded on January 22, 2025 at Stanford University.