Multiple features integration in 2D upper human body pose modelling system

Rosalyn R. Porle, and Chekima, Ali and Wong , Hock Tze @ Farrah Wong Tze @ Farrah Wong and Sainarayanan , Gopala (2010) Multiple features integration in 2D upper human body pose modelling system. In: 10th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA 2010), 10-13 May 2010, Kuala Lumpur, Malaysia.

Full text not available from this repository.


Human body pose modelling system is directly influenced by the image features used in the system, its model representation and also its application. This paper presents silhouette, edge and colour extraction methodology for detecting the human body parts in image sequences. Silhouette is used as input for head and torso pose estimation. Meanwhile, edge and colour are used respectively as input for non-occluded and occluded arms pose estimation. The body parts are estimated using histogram analysis and template matching techniques, which is then represented by rectangular shape. © 2010 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Image motion analysis, Image segmentation, Wavelet transform
Subjects: T Technology > TR Photography > TR1-1050 Photography > TR624-835 Applied photography Including artistic, commercial, medical photography, photocopying processes
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 10 Mar 2011 13:43
Last Modified: 29 Dec 2014 16:16

Actions (login required)

View Item View Item