Depth estimation of frames in image sequences using motion occlusions

This paper proposes a system to depth order regions of a frame belonging to a monocular image sequence. For a given frame, re- gions are ordered according to their relative depth using the previous and following frames. The algorithm estimates occluded and disoccluded pixels belonging to the central frame. Afterwards, a Binary Partition Tree (BPT) is constructed to obtain a hierarchical, region based repre- sentation of the image. The nal depth partition is obtained by means of energy minimization on the BPT. To achieve a global depth ordering from local occlusion cues, a depth order graph is constructed and used to eliminate contradictory local cues. Results of the system are evaluated and compared with state of the art gure/ground labeling systems on several datasets, showing promising results.Peer Reviewe