Presentation | 2007/1/19 Sign Language Recognition based on Estimation of Transition Structure Tadashi MATSUO, Yoshiaki SHIRAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we describe a method using HMM to recognize sign language from an image sequence. Some methods using HMM have been already proposed, but the topology of their HMMs is fixed for all signs. We should use topology suitable for dynamics of each sign because some motions in a sign may be skipped or modified. Accordingly, we propose a method to extract and match motions from multiple image sequences for learning and a method to estimate suitable topology. By some experiments we show that the proposed method works well. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | sign recognition / video processing / HMM / motion extraction / estimation of transitional topology |
Paper # | TL2006-71,SP2006-159,WIT2006-103 |
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Committee | WIT |
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Conference Date | 2007/1/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (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) | Sign Language Recognition based on Estimation of Transition Structure |
Sub Title (in English) | |
Keyword(1) | sign recognition |
Keyword(2) | video processing |
Keyword(3) | HMM |
Keyword(4) | motion extraction |
Keyword(5) | estimation of transitional topology |
1st Author's Name | Tadashi MATSUO |
1st Author's Affiliation | College of Information Science and Engineering, Ritsumeikan University() |
2nd Author's Name | Yoshiaki SHIRAI |
2nd Author's Affiliation | College of Information Science and Engineering, Ritsumeikan University |
Date | 2007/1/19 |
Paper # | TL2006-71,SP2006-159,WIT2006-103 |
Volume (vol) | vol.106 |
Number (no) | 490 |
Page | pp.pp.- |
#Pages | 5 |
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