Ghost: a human body part labeling system using silhouettes
نویسندگان
چکیده
Ghost is a real time system for estimating human body posture and detecting body parts in monochromatic imagery. It constructs a silhouette based body model to determine the location of the body parts while people are in generic postures. It combines hierarchical body pose estimation, a convex hull analysis of the silhouette, and a partial mapping from the body parts to the silhouette segments using a distance transform method that does not violate the topology of the human body. Experimental results demonstrate robustness and real-time performance of the proposed algo-
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