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Gait Recognition by Fusing Direct Cross-view Matching Scores for Criminal Investigation
https://ipsj.ixsq.nii.ac.jp/records/94694
https://ipsj.ixsq.nii.ac.jp/records/94694030a111b-5e12-4423-b103-bcbad77b30ee
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-TCVA0500006.pdf (1.5 MB)
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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 | Trans(1) | |||||||
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| 公開日 | 2013-07-29 | |||||||
| タイトル | ||||||||
| タイトル | Gait Recognition by Fusing Direct Cross-view Matching Scores for Criminal Investigation | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Gait Recognition by Fusing Direct Cross-view Matching Scores for Criminal Investigation | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | [Regular Paper - Express Paper] gait recognition, criminal investication, cross-view, fusion, biometrics | |||||||
| 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 | ||||||||
| Institute of Scientific and Industrial Research, Osaka University | ||||||||
| 著者所属 | ||||||||
| Institute of Scientific and Industrial Research, Osaka University | ||||||||
| 著者所属 | ||||||||
| Institute of Scientific and Industrial Research, Osaka University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Institute of Scientific and Industrial Research, Osaka University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Institute of Scientific and Industrial Research, Osaka University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Institute of Scientific and Industrial Research, Osaka University | ||||||||
| 著者名 |
Daigo, Muramatsu
Yasushi, Makihara
Yasushi, Yagi
× Daigo, Muramatsu Yasushi, Makihara Yasushi, Yagi
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| 著者名(英) |
Daigo, Muramatsu
Yasushi, Makihara
Yasushi, Yagi
× Daigo, Muramatsu Yasushi, Makihara Yasushi, Yagi
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | We focus on gait recognition for criminal investigation. In criminal investigation, person authentication is performed by comparing target data at the crime scene and multiple gait data with slightly different views from that of the target data. For this task, we propose fusion of direct cross-view matching. Cross-view matching generally produces worse result than those of same-view matching when view-variant features are used. However, the correlation between cross-view matching with different view pairs is low and it provides improved accuracy. Experimental results performed utilizing large-scale dataset under settings resembling actual criminal investigation cases, show that the proposed approach works well. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | We focus on gait recognition for criminal investigation. In criminal investigation, person authentication is performed by comparing target data at the crime scene and multiple gait data with slightly different views from that of the target data. For this task, we propose fusion of direct cross-view matching. Cross-view matching generally produces worse result than those of same-view matching when view-variant features are used. However, the correlation between cross-view matching with different view pairs is low and it provides improved accuracy. Experimental results performed utilizing large-scale dataset under settings resembling actual criminal investigation cases, show that the proposed approach works well. | |||||||
| 書誌情報 |
IPSJ Transactions on Computer Vision and Applications （CVA） 巻 5, p. 35-39, 発行日 2013-07-29 |
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| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 1882-6695 | |||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
