Presentation 2007-10-26
Body-part Segmentation for a Real Human Wearing Multiple-Colored Suit by a Mean Shift Based Algorithm(Internationa Session 5)
Huimin Guo, Jun Okazaki, Dong-Wan Kang, Jun Ohya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we present a framework of body-part segmentation for a real human wearing multiple-colored suit, which has different colors for individual body parts. The segmentation framework would be very useful for estimating postures of a real human. Our work firstly runs a robust background modeling and detection method called codebook so that the human area is extracted from the background. Then, we apply the mean shift segmentation as well as edge detection to the extracted human area. Experimental results show that the proposed method achieves better performances than conventional segmentation methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Image Segmentation / Posture Estimation / Mean Shift / Background Subtraction
Paper # PRMU2007-114
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Conference Information
Committee PRMU
Conference Date 2007/10/18(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Body-part Segmentation for a Real Human Wearing Multiple-Colored Suit by a Mean Shift Based Algorithm(Internationa Session 5)
Sub Title (in English)
Keyword(1) Image Segmentation
Keyword(2) Posture Estimation
Keyword(3) Mean Shift
Keyword(4) Background Subtraction
1st Author's Name Huimin Guo
1st Author's Affiliation Graduate School of Global Information and Telecommunication Studies Waseda University()
2nd Author's Name Jun Okazaki
2nd Author's Affiliation Graduate School of Global Information and Telecommunication Studies Waseda University
3rd Author's Name Dong-Wan Kang
3rd Author's Affiliation Graduate School of Global Information and Telecommunication Studies Waseda University
4th Author's Name Jun Ohya
4th Author's Affiliation Graduate School of Global Information and Telecommunication Studies Waseda University
Date 2007-10-26
Paper # PRMU2007-114
Volume (vol) vol.107
Number (no) 281
Page pp.pp.-
#Pages 6
Date of Issue