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画像に基づく歩容解析 : 個人認証及び属性推定
https://doi.org/10.15018/00000988
https://doi.org/10.15018/00000988bda36669-4b87-429a-8327-f2e2cca552fb
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
rikougaku-57-1-2_7-12.pdf (1.1 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2021-07-15 | |||||||||
| タイトル | ||||||||||
| タイトル | 画像に基づく歩容解析 : 個人認証及び属性推定 | |||||||||
| 言語 | ja | |||||||||
| タイトル | ||||||||||
| タイトル | Image-based Gait Analysis Person Verification and Attribute Recognition | |||||||||
| 言語 | en | |||||||||
| 言語 | ||||||||||
| 言語 | jpn | |||||||||
| 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 | departmental bulletin paper | |||||||||
| その他 資源タイプ | Article | |||||||||
| 著者 |
村松, 大吾
× 村松, 大吾
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| 書誌情報 |
ja : 成蹊大学理工学研究報告 en : The journal of the Faculty of Science and Technology, Seikei University 巻 57, 号 1-2, p. 7-12, 発行日 2020-12-01 |
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| 出版者 | ||||||||||
| 出版者 | 成蹊大学理工学部 | |||||||||
| 言語 | ja | |||||||||
| 出版タイプ | ||||||||||
| 出版タイプ | VoR | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
| ISSN | ||||||||||
| 収録物識別子タイプ | PISSN | |||||||||
| 収録物識別子 | 1880-2265 | |||||||||
| NCID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AA1203510X | |||||||||
| アクセス権 | ||||||||||
| アクセス権 | open access | |||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | biometrics | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | gait | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | person recognition | |||||||||
| ID登録 | ||||||||||
| ID登録 | 10.15018/00000988 | |||||||||
| ID登録タイプ | JaLC | |||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | Image-based gait analysis methods proposed by authors' group are described in this paper. Silhouette-based gait features are extracted from gait image sequences, and the extracted features are used for person verification tasks and person attribute estimation tasks such as age and gender. As the gait verification tasks, approaches for issues of view difference, belonging difference, and occlusion are explained. For the view issues, view transformation-based approaches and CNN-based view-invariant approaches are explained. For the issue of belonging difference, joint intensity and spatial metric learning method is briefly explained. And for occlusion issue, subspace-based gait regeneration methods and a WGAN-based silhouette image sequence reconstruction method are explained. And as an application for gait verification, gait verification system for criminal investigation is introduced. | |||||||||
| 言語 | en | |||||||||
