| Project/Area Number |
18K19772
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 60:Information science, computer engineering, and related fields
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
菅谷 至寛 東北大学, 工学研究科, 准教授 (80323062)
宮崎 智 東北大学, 工学研究科, 助教 (10755101)
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| Project Period (FY) |
2018-06-29 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2020: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | パターン認識 / コンピュータビジョン / センサ融合・統合 |
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| Outline of Final Research Achievements |
While computer vision research has evolved and various applications are being developed, the difficulty of acquiring images with cameras has become a new problem that hinders its practical application. It is difficult for an individual to easily take a picture of public places due to problems such as privacy. In this research project, we have developed a technology that provides various information to the user by using an existing fixed camera such as a surveillance camera instead of carrying the camera and linking the image with the user's behavior.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究課題では携帯型のカメラを用いずに環境中の画像情報を取得するという、これまでとは異なる方向性の技術開発に取り組んだ。研究成果は、これまでコンピュータビジョンの分野で実用化のネックになっていたプライバシーの問題に対する１つの解決策を与えるものであり、映像におけるプライバシーの考え方を変える可能性がある。また、この技術により提供可能なサービスは多岐にわたり、コンピュータビジョンやIoTの研究開発の方向性を変える可能性がある。
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