A new approach to tracking weakly modeled objects in a semantically rich domain is
presented. We define a closed-world as a space-time region of an image sequence
in which the complete taxonomy of objects is known, and in which each pixel should be
explained as belonging to one of those objects. Given contextual object information, context-specific
features can be dynamically selected as the basis for tracking. A context-specific feature
is one that has been chosen based upon the context to maximize the chance of successful
tracking between frames.
Stereo, occlusion, dynamic-programming stereo, disparity-space, ground-control points.