Title :
Skeleton-based human segmentation in still images
Author :
Jacques, Julio C. S. ; Jung, Claudio R. ; Musse, Soraia R.
Author_Institution :
Pontificia Univ. Catolica do Rio Grande do Sul, Porto Alegre, Brazil
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
In this paper we propose a skeleton-based model for human segmentation in static images. Our approach explores edge information, orientation coherence and anthropometric-estimated parameters to generate a graph, and the desired contour is a path with maximal cost. Experimental results show that the proposed technique works well in non trivial images.
Keywords :
computer graphics; edge detection; image segmentation; anthropometric-estimated parameter; edge information; graph generation; nontrivial image; orientation coherence; skeleton-based human segmentation; still image; Bones; Humans; Image edge detection; Image segmentation; Joints; Shape; human body parts segmentation; semantic information;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6466815
