Presentation 2001/3/16
Application of Hierarchical Attention Control Model to Human Pose Estimation in Stereoscopic Motion Images
Ryo YAMANE, Junji SATAKE, Takeshi SYAKUNAGA,
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Abstract(in English) A hierarchical attention control model has been proposed for realizing a flexible vision which can utilize several kinds of knowledge. This paper provides an application of the model to human pose estimation is stereoscopic motion images. In the pose estimation, 3d sticks are reconstructed from a set of images of different cameras, and they are interpreted by the 3d human stick model. In this process, the hierarchical attention control model controls the bottom-up and top-down interpretations by managing states of sticks in the 3d stick model. A primary experimental result is also presented.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Hierarchical attention control model / Human motion tracking / Pose estimation / Stick model / Stereo scopic motion image
Paper # PRMU2000-231
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Conference Information
Committee PRMU
Conference Date 2001/3/16(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Application of Hierarchical Attention Control Model to Human Pose Estimation in Stereoscopic Motion Images
Sub Title (in English)
Keyword(1) Hierarchical attention control model
Keyword(2) Human motion tracking
Keyword(3) Pose estimation
Keyword(4) Stick model
Keyword(5) Stereo scopic motion image
1st Author's Name Ryo YAMANE
1st Author's Affiliation Department of Information Technology, Okayama University()
2nd Author's Name Junji SATAKE
2nd Author's Affiliation Department of Information Technology, Okayama University
3rd Author's Name Takeshi SYAKUNAGA
3rd Author's Affiliation Department of Information Technology, Okayama University
Date 2001/3/16
Paper # PRMU2000-231
Volume (vol) vol.100
Number (no) 702
Page pp.pp.-
#Pages 8
Date of Issue