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  1. 論文誌(トランザクション)
  2. Computer Vision and Applications(CVA)
  3. Vol.5

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/94694
030a111b-5e12-4423-b103-bcbad77b30ee
名前 / ファイル ライセンス アクション
IPSJ-TCVA0500006.pdf IPSJ-TCVA0500006.pdf (1.5 MB)
Copyright (c) 2013 by the Information Processing Society of Japan
オープンアクセス
Item type Trans(1)
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

Daigo, Muramatsu
Yasushi, Makihara
Yasushi, Yagi

Search repository
著者名(英) Daigo, Muramatsu Yasushi, Makihara Yasushi, Yagi

× Daigo, Muramatsu Yasushi, Makihara Yasushi, Yagi

en Daigo, Muramatsu
Yasushi, Makihara
Yasushi, Yagi

Search repository
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
ISSN
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
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