Presentation | 2002/9/12 Recognition of Global Motion in Sign Language Based on Optical Flow Yuji OKAZAWA, Yasuo HORIUCHI, Akira ICHIKAWA, |
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Abstract(in English) | Sign language is a complicated visual language expressed by various body organs and can be used in real time dialogue. In previous researches, it was shown that human signers can recognize signs to some extent using only global features. In this study, we introduce a recognition method of global motion of hands in sign language based on optical flow. First, we made two-dimensional pattern in which each pixel has the angle of the optical flow vector calculated from videotape. Second, some features are extracted from the pattern by domain unification based on each pixel value. Finally, we performed DP matching algorithm for the features in order to recognize motions. As a result, we got 91.3 percent of recognition rate. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Sign Language / Global Motion of Hands / Optical Flow |
Paper # | WIT2002-20 |
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Committee | WIT |
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Conference Date | 2002/9/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Recognition of Global Motion in Sign Language Based on Optical Flow |
Sub Title (in English) | |
Keyword(1) | Sign Language |
Keyword(2) | Global Motion of Hands |
Keyword(3) | Optical Flow |
1st Author's Name | Yuji OKAZAWA |
1st Author's Affiliation | Graduate School of Science and Technology, Chiba University() |
2nd Author's Name | Yasuo HORIUCHI |
2nd Author's Affiliation | Graduate School of Science and Technology, Chiba University |
3rd Author's Name | Akira ICHIKAWA |
3rd Author's Affiliation | Graduate School of Science and Technology, Chiba University |
Date | 2002/9/12 |
Paper # | WIT2002-20 |
Volume (vol) | vol.102 |
Number (no) | 319 |
Page | pp.pp.- |
#Pages | 6 |
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