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Indexing of Motion Capture Data Using Feature Vectors Derived from Posture Variation
https://ipsj.ixsq.nii.ac.jp/records/91618
https://ipsj.ixsq.nii.ac.jp/records/916186e9dba6b-ede5-4834-814d-0956f94995a0
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-JNL5404052 (336.7 kB)
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Copyright (c) 2013 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||||||||||
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| 公開日 | 2013-04-15 | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | Indexing of Motion Capture Data Using Feature Vectors Derived from Posture Variation | |||||||||||||||||
| タイトル | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| タイトル | Indexing of Motion Capture Data Using Feature Vectors Derived from Posture Variation | |||||||||||||||||
| 言語 | ||||||||||||||||||
| 言語 | eng | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | [一般論文] motion capture, information retrieval, indexing, similarity | |||||||||||||||||
| 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 | |||||||||||||||||
| 著者所属 | ||||||||||||||||||
| Graduate School of Engineering and Resource Science, Akita University | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| Faculty of Education and Human Studies, Akita University | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| Graduate School of Engineering and Resource Science, Akita University／Digital Art Factory, Warabi-za Co., Ltd. | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| Faculty of Education and Human Studies, Akita University | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| Graduate School of Engineering and Resource Science, Akita University | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| Graduate School of Engineering and Resource Science, Akita University | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Graduate School of Engineering and Resource Science, Akita University | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Faculty of Education and Human Studies, Akita University | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Graduate School of Engineering and Resource Science, Akita University / Digital Art Factory, Warabi-za Co., Ltd. | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Faculty of Education and Human Studies, Akita University | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Graduate School of Engineering and Resource Science, Akita University | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Graduate School of Engineering and Resource Science, Akita University | ||||||||||||||||||
| 著者名 |
Takeshi, Miura
× Takeshi, Miura
× Naho, Matsumoto
× Takaaki, Kaiga
× Hiroaki, Katsura
× Katsubumi, Tajima
× Hideo, Tamamoto
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| 著者名(英) |
Takeshi, Miura
× Takeshi, Miura
× Naho, Matsumoto
× Takaaki, Kaiga
× Hiroaki, Katsura
× Katsubumi, Tajima
× Hideo, Tamamoto
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| 論文抄録 | ||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | Recently several large-scale databases of motion-capture data streams have been constructed. We present a novel method to index motion-capture data streams in such databases. We pay attention to posture variation; the impression of the visual aspect of the whole body is regarded as important. The spatial distribution of body segments is statistically summarized as a feature vector having only 12 dimensions. The experimental results showed that the feature vector we introduced provided properties comparable to those of the methods previously proposed, even though its dimensionality is extremely low. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.21(2013) No.2 (online) DOI http://dx.doi.org/10.2197/ipsjjip.21.358 ------------------------------ |
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| 論文抄録(英) | ||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | Recently several large-scale databases of motion-capture data streams have been constructed. We present a novel method to index motion-capture data streams in such databases. We pay attention to posture variation; the impression of the visual aspect of the whole body is regarded as important. The spatial distribution of body segments is statistically summarized as a feature vector having only 12 dimensions. The experimental results showed that the feature vector we introduced provided properties comparable to those of the methods previously proposed, even though its dimensionality is extremely low. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.21(2013) No.2 (online) DOI http://dx.doi.org/10.2197/ipsjjip.21.358 ------------------------------ |
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| 書誌レコードID | ||||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||||
| 収録物識別子 | AN00116647 | |||||||||||||||||
| 書誌情報 |
情報処理学会論文誌 巻 54, 号 4, 発行日 2013-04-15 |
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| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 1882-7764 | |||||||||||||||||
