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
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;
Conference_Titel :
SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers
Conference_Location :
Nagoya
Print_ISBN :
0-7803-7306-5
DOI :
10.1109/SICE.2001.977834
