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Segmentation of Human Body Image

Authors(8) :-Prof. T. R. Harinkhede, P. R. Girhepunje, S. S. Dekate, D. S. Dable, A. R. Pawar, A. P. Korde, R. P. Yenurkar, D. D. Ganvir

Human body image segmentation is a difficult process that can use in important application,like scene understanding and activity recognition. In order to deal with the highly dimensional pose space, scene complexity, and various human appearances, the majority of have being works require computationally composite training and template matching processes. We have to converse a bottom-up methodology for segmentation of human bodies from single images, in the case of almost upright poses in cluttered environments. The position, dimensions, and colour of the face are used for the localization of the human body, construction of the models for the upper and lower body according to anthropomertric constraints, and approximation of the skin colour. Different levels of segmentation granularity are combined to extract the pose with highest ability. The segments that belong to the human body arise through the joint approximation of the upper and lower during the body part search phases, which make easy the need for exact shape matching.
Prof. T. R. Harinkhede, P. R. Girhepunje, S. S. Dekate, D. S. Dable, A. R. Pawar, A. P. Korde, R. P. Yenurkar, D. D. Ganvir
Adaptive Skin Detection, Anthropometric Constraints, Human Body Segmentation, And Multilevel Image Segmentation
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Publication Details
  Published in : Volume 3 | Issue 2 | January-February 2017
  Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 110-113
Manuscript Number : NCAEAS2325
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Prof. T. R. Harinkhede, P. R. Girhepunje, S. S. Dekate, D. S. Dable, A. R. Pawar, A. P. Korde, R. P. Yenurkar, D. D. Ganvir , "Segmentation of Human Body Image", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 2, pp.110-113, January-February-2017
URL : http://ijsrst.com/NCAEAS2325