Amodal Tracking

Amodal tracking is a computer vision technique aimed at inferring the complete state of an object through its partially visible parts, enabling continuous tracking of the target. This technology not only focuses on the visible portions of the object but also integrates contextual information and prior knowledge to accurately predict the full position and pose of the object, thereby providing more robust tracking performance in complex scenes. Amodal tracking has significant application value in areas such as autonomous driving, robotic navigation, and video surveillance, significantly enhancing the perception capabilities and decision-making efficiency of systems.