DocumentCode
2129804
Title
Solving a dress problem for a human model recognition
Author
Rahman, M.M. ; Kim, H.S. ; Ishikawa, S.
Author_Institution
Dept. of Mech. & Control Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
fYear
2001
fDate
2001
Firstpage
210
Lastpage
213
Abstract
An approach to recognize a human posture automatically is presented in this paper along with the investigation of a dress effect due to change of wearing dresses. The approach uses an appearance-based eigenspace technique, and augments it by employing blurred-edge operations over original images for reducing dress effect in eigenspace. The proposed blurred-edge operations confirm the expected recognition rate overcoming the dress effect, and related experiment is performed employing a human model wearing various dresses
Keywords
computer vision; eigenvalues and eigenfunctions; image recognition; appearance-based eigenspace technique; blurred-edge operations; dress effect; human model recognition; human posture; recognition rate; Biological system modeling; Computer vision; Humans; Image edge detection; Lighting; Object recognition; Reflectivity; Shape; Surveillance; User interfaces;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers
Conference_Location
Nagoya
Print_ISBN
0-7803-7306-5
Type
conf
DOI
10.1109/SICE.2001.977834
Filename
977834
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