| Project/Area Number |
15H01693
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perceptual information processing
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| Research Institution | Osaka University |
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Principal Investigator |
YAGI Yasushi 大阪大学, 産業科学研究所, 教授 (60231643)
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| Co-Investigator(Kenkyū-buntansha) |
黒沢 健至 科学警察研究所, 法科学第二部, 室長 (80356170)
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| Co-Investigator(Renkei-kenkyūsha) |
MAKIHARA Yasushi 大阪大学, 産業科学研究所, 准教授 (90403005)
MURAMATSU Daigo 大阪大学, 産業科学研究所, 准教授 (00386624)
KUROKI Kenro 科学警察研究所, 法科第二部, 研究員 (60392271)
TSUCHIYA Ken'ichi 科学警察研究所, 法科第二部, 主任研究官 (90447920)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥43,810,000 (Direct Cost: ¥33,700,000、Indirect Cost: ¥10,110,000)
Fiscal Year 2017: ¥12,870,000 (Direct Cost: ¥9,900,000、Indirect Cost: ¥2,970,000)
Fiscal Year 2016: ¥14,950,000 (Direct Cost: ¥11,500,000、Indirect Cost: ¥3,450,000)
Fiscal Year 2015: ¥15,990,000 (Direct Cost: ¥12,300,000、Indirect Cost: ¥3,690,000)
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| Keywords | 歩容認証 / ながら歩行 / 計量学習 / データベース / アクセスコントロール / コンピュータビジョン / パターン認識 / バイオメトリクス / 画像、文章、音声等認識 |
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| Outline of Final Research Achievements |
We proposed a method of gait recognition in the wild (GRW) to effectively handle gait with some accompanied actions such as operating a smartphone. For this purpose, we constructed the world-largest gait database including approx. 60,000 subjects with carried objects, and then proposed a method of gait recognition robust against carrying status variations using joint intensity and spatial metric learning. Moreover, we developed an online walk-through multi-modal access control system, named, Gait Gate.
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