Item type |
学術雑誌論文 / Journal Article(1) |
公開日 |
2016-07-01 |
タイトル |
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タイトル |
Time-segmentation and position-free recognition of air-drawn gestures and characters in videos |
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言語 |
en |
言語 |
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言語 |
eng |
キーワード |
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言語 |
en |
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主題 |
Gesture recognition |
キーワード |
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言語 |
en |
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主題 |
Segmentation-free recognition |
キーワード |
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言語 |
en |
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主題 |
Position-free recognition |
キーワード |
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言語 |
en |
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主題 |
Moving camera |
キーワード |
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言語 |
en |
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主題 |
Dynamic programming |
資源タイプ |
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資源タイプ |
journal article |
著者 |
新妻, 佑記
鳥居, 駿平
矢口, 勇一
岡, 嶐一
Niitsuma, Yuki
Torii, Syunpei
Yaguchi, Yuki
Oka, Ryuichi
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抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
We report the recognition in video streams of isolated alphabetic characters and connected cursive textual characters, such as alphabetic, hi-ragana and kanji characters, that are drawn in the air. This topic involves a number of difficult problems in computer vision, such as the segmentation and recognition of complex motion on videos. We use an algorithm called time-space continuous dynamic programming (TSCDP), which can realize both time- and location-free (spotting) recognition. Spotting means that the prior segmentation of input video is not required. Each reference (model) character is represented by a single stroke that is composed of pixels. We conducted two experiments involving the recognition of 26 isolated alphabetic characters and 23 Japanese hiragana and kanji air-drawn characters. We also conducted gesture recognition experiments based on TSCDP, which showed that TSCDP was free from many of the restrictions imposed by conventional methods. |
書誌情報 |
en : Multimedia tools and applications
巻 75,
号 19,
p. 11615-11639,
発行日 2016-10
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出版者 |
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出版者 |
Springer |
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言語 |
en |
ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
1573-7721 |
DOI |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
10.1007/s11042-015-2669-3 |
関連サイト |
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識別子タイプ |
DOI |
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関連識別子 |
http://dx.doi.org/10.1007/s11042-015-2669-3 |
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関連名称 |
Springer Link |
フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
PDF |
著者版フラグ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |