Motion Disentanglement

Motion Disentanglement is a crucial task in the field of computer vision, aiming to separate abnormal movements from normal ones in complex motion patterns. This task involves analyzing and modeling motion data to identify movement trajectories that deviate from regular patterns, thereby achieving precise detection of abnormal behaviors. Its application value is extensive, including video surveillance, medical diagnosis, robot navigation, and other scenarios, which can enhance the robustness and intelligence level of systems.