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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.
CitationPalou, G.; Salembier, P. Depth estimation of frames in image sequences using motion occlusions. A: European Conference on Computer Vision. "Computer Vision – ECCV 2012. Workshops and Demonstrations". Florència: Springer, 2012, p. 516-525.
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