Parsing Occluded People

CVPR 2014 Golnaz GhiasiYi YangDeva RamananCharless C. Fowlkes

Occlusion poses a significant difficulty for object recognition due to the combinatorial diversity of possible occlusion patterns. We take a strongly supervised, non-parametric approach to modeling occlusion by learning deformable models with many local part mixture templates using large quantities of synthetically generated training data... (read more)

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