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Recognition of Shape-Changinig Hand Gestures
https://sucra.repo.nii.ac.jp/records/13086
https://sucra.repo.nii.ac.jp/records/130866560028d-64f3-45c1-91a6-6bb627cdd080
名前 / ファイル | ライセンス | アクション |
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A1003024.pdf (732.2 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2008-01-30 | |||||
タイトル | ||||||
タイトル | Recognition of Shape-Changinig Hand Gestures | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | gesture recognition | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | active contour | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | switching linear model | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
久野, 義徳
× 久野, 義徳 |
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著者 ローマ字 | ||||||
KUNO, Yoshinori | ||||||
著者 ローマ字 | ||||||
JEONG, Mun-Ho | ||||||
著者 ローマ字 | ||||||
SHIMADA, Nobutaka | ||||||
著者 ローマ字 | ||||||
SHIRAI, Yoshiaki | ||||||
著者 所属 | ||||||
埼玉大学大学院理工学研究科数理電子情報部門 | ||||||
著者 所属(別言語) | ||||||
Graduate School of Science and Engineering, Saitama University | ||||||
書誌情報 |
IEICE transactions on information and systems 巻 E85-D, 号 10, p. 1678-1687, 発行日 2002 |
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年月次 | ||||||
2002-10 | ||||||
出版者名 | ||||||
出版者 | 社団法人電子情報通信学会 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09168532 | |||||
関連サイト | ||||||
内容記述タイプ | Other | |||||
内容記述 | http://search.ieice.org/index.html | http://search.ieice.org/index.html | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We present a method to track and recognize shape-changing hand gestures simultaneously. The switching linear model using active contour model well corresponds to temporal shapes and motions of hands. However, inference in the switching linear model is computationally intractable, and therefore the learning process cannot be performed via the exact EM (Expectation Maximization) algorithm. Thus, we present an approximate EM algorithm using a collapsing method in which some Gaussians are merged into a single Gaussian. Tracking is performed through the forward algorithm based on Kalman filtering and the collapsing method. We also present a regularized smoothing, which plays a role of reducing jump changes between the training sequences of shape vectors representing complex-variable hand shapes. The recognition process is performed by the selection of a model with the maximum likelihood from some trained models while tracking is being performed. Experiments for several shape-changing hand gestures are demonstrated. | |||||
注記 | ||||||
内容記述タイプ | Other | |||||
内容記述 | copyright(c)2002 IEICE許諾番号:08RB0010 |
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版 | ||||||
[出版社版] | ||||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
資源タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | text | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
作成日 | ||||||
日付 | 2008-01-30 | |||||
日付タイプ | Created | |||||
アイテムID | ||||||
A1003024 |