Presentation 2013-03-12
Sign Language Recognition Using Kinect and Particle Filter
Yoshihiro FURUYA, Daisuke IMAMURA, Yasuo HORIUCHI, Kazuhiko KAWAMOTO, Takahiro SHINOZAKI, Shingo KUROIWA,
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Abstract(in English) In this paper, we will discuss a sign language recognition method using a Particle Filter and Kinect. We have previously proposed an arm detection method based on a particle filter algorithm using depth and skin color information. We have implemented the method using Kinect and demonstrated that it gave good recognition accuracy. However, the method has a constraint that the users have to roll up their sleeves since it requires the color of arms. In this study, we propose an improved algorithm that removes the constraint. Experimental results show that the new algorithm gives comparable performance as the previous one without using the arm color.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Sign Language Recognition / Particle Filter / Hidden Markov Model / Kinect
Paper # IMQ2012-79,IE2012-183,MVE2012-140,WIT2012-89
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Committee IE
Conference Date 2013/3/4(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sign Language Recognition Using Kinect and Particle Filter
Sub Title (in English)
Keyword(1) Sign Language Recognition
Keyword(2) Particle Filter
Keyword(3) Hidden Markov Model
Keyword(4) Kinect
1st Author's Name Yoshihiro FURUYA
1st Author's Affiliation Chiba University()
2nd Author's Name Daisuke IMAMURA
2nd Author's Affiliation Chiba University
3rd Author's Name Yasuo HORIUCHI
3rd Author's Affiliation Chiba University
4th Author's Name Kazuhiko KAWAMOTO
4th Author's Affiliation Chiba University
5th Author's Name Takahiro SHINOZAKI
5th Author's Affiliation Chiba University
6th Author's Name Shingo KUROIWA
6th Author's Affiliation Chiba University
Date 2013-03-12
Paper # IMQ2012-79,IE2012-183,MVE2012-140,WIT2012-89
Volume (vol) vol.112
Number (no) 473
Page pp.pp.-
#Pages 6
Date of Issue