DocumentCode :
327661
Title :
Ghost: a human body part labeling system using silhouettes
Author :
Haritaoglu, Ismail ; Harwood, David ; Davis, Larry S.
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
Volume :
1
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
77
Abstract :
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 algorithm
Keywords :
image motion analysis; image sequences; object detection; Ghost; body posture; convex hull analysis; generic postures; human body part labeling system; monochromatic imagery; partial mapping; silhouettes; Biological system modeling; Computer vision; Head; Humans; Image segmentation; Labeling; Laboratories; Real time systems; Surveillance; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711084
Filename :
711084
Link To Document :
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