Presentation 2003/11/14
Image Understanding The Japanese Tea Ceremony Based On Stochastic Context-Free Grammar
Humikazu MITOMI, Fuyuki FUJIWARA, Masanobu YAMAMOTO, Taisuke SATO,
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Abstract(in English) This paper describes a new approach for gesture recognition using stochastic context-free grammar (SCFG). Existing SCFG approach consists of series of generating terminals, parsing and recognition. This process may lack important information on the way and result into false recognition. Our system keeps all information until the final stage in the recognition. To input action, we generate and keep potential terminal symbols with some reliability. A probability measure is assigned to each production rule to specify a class of the "temae". After parsing the terminal symbols, we estimate a distance between the input action and any "temae" by multiplying the reliability with the probability. The nearest "temae" is a result of the recognition. Our system can lead an optimal solution for gesture recognition.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Gesture recognition / Japanese tea ceremony / Temae / Stochastic context-free grammar / Motion capture
Paper # PRMU2003-151,HIP2003-57
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Conference Information
Committee PRMU
Conference Date 2003/11/14(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) Image Understanding The Japanese Tea Ceremony Based On Stochastic Context-Free Grammar
Sub Title (in English)
Keyword(1) Gesture recognition
Keyword(2) Japanese tea ceremony
Keyword(3) Temae
Keyword(4) Stochastic context-free grammar
Keyword(5) Motion capture
1st Author's Name Humikazu MITOMI
1st Author's Affiliation Graduate School of Science and Technology()
2nd Author's Name Fuyuki FUJIWARA
2nd Author's Affiliation Fujitsu
3rd Author's Name Masanobu YAMAMOTO
3rd Author's Affiliation Faculty of Engineering, Niigata University
4th Author's Name Taisuke SATO
4th Author's Affiliation Tokyo Institute of Technology
Date 2003/11/14
Paper # PRMU2003-151,HIP2003-57
Volume (vol) vol.103
Number (no) 453
Page pp.pp.-
#Pages 6
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