Presentation 2010-03-15
Sequence for Human Posture Estimation : Study of Occlusion Judgement by Particle Filter
Yuta SHIMIZU, Jun OHYA, Jun OKAZAKI,
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Abstract(in English) The authors are studying a method for estimating the posture of a person wearing a multilple-colored suit from the video sequence that observes that person. This paper reports our fundamental study of tracking human body parts. Each frame of the video sequence is segmented by a mean-shift algorithm, Using color distribution information of each body part, the body part is tracked by particle filter. Particles' "overflow phenomena", which occurs when the body part starts being occluded, are utilized to judge whether occulusion occurs using an overflow ratio.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Particle-Filter / Occlusion / Image Segmentation
Paper # IE2009-180
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Committee IE
Conference Date 2010/3/8(1days)
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Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sequence for Human Posture Estimation : Study of Occlusion Judgement by Particle Filter
Sub Title (in English)
Keyword(1) Particle-Filter
Keyword(2) Occlusion
Keyword(3) Image Segmentation
1st Author's Name Yuta SHIMIZU
1st Author's Affiliation Graduate School of Global Information and Telecommunication Studies, Waseda University()
2nd Author's Name Jun OHYA
2nd Author's Affiliation Graduate School of Global Information and Telecommunication Studies, Waseda University
3rd Author's Name Jun OKAZAKI
3rd Author's Affiliation M. SOFT CO.,LTD.
Date 2010-03-15
Paper # IE2009-180
Volume (vol) vol.109
Number (no) 469
Page pp.pp.-
#Pages 6
Date of Issue