Presentation 1996/6/20
Gesture Recognition using Direction Edge Images
Toshiro MUKAI, Takuichi NISHIMURA, Shigeki NAGAYA, Masayuki NAKAZAWA, Ryuuichi OKA,
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Abstract(in English) We propose the feature extracted from the direction edge images using Sobel filters for gesture recognition in this paper. We can recognize from connectivity of direction of movement of gesture. Direction edge feature is feature vector that elements are total number of pixcel satisfied with condition in 8 direction edge images. We can recognize a gesture from fluctuation of special feature vector. In this paper, we describe about direction edge feature and report some gesture recognition experiment results.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Direction edge fuature / Gesture recognition / Sobel filter
Paper # HIP96-13
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Conference Information
Committee HIP
Conference Date 1996/6/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Gesture Recognition using Direction Edge Images
Sub Title (in English)
Keyword(1) Direction edge fuature
Keyword(2) Gesture recognition
Keyword(3) Sobel filter
1st Author's Name Toshiro MUKAI
1st Author's Affiliation Tsukuba Research Center, Real World Computing Partnership()
2nd Author's Name Takuichi NISHIMURA
2nd Author's Affiliation Tsukuba Research Center, Real World Computing Partnership
3rd Author's Name Shigeki NAGAYA
3rd Author's Affiliation Tsukuba Research Center, Real World Computing Partnership
4th Author's Name Masayuki NAKAZAWA
4th Author's Affiliation Tsukuba Research Center, Real World Computing Partnership
5th Author's Name Ryuuichi OKA
5th Author's Affiliation Tsukuba Research Center, Real World Computing Partnership
Date 1996/6/20
Paper # HIP96-13
Volume (vol) vol.96
Number (no) 115
Page pp.pp.-
#Pages 4
Date of Issue