| Project/Area Number |
23700210
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kinki University (2012)
Osaka University (2011) |
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Principal Investigator |
HABE Hitoshi 近畿大学, 理工学部, 講師 (80346072)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 画像情報処理 / 人物検出 / アンサンブル学習 / 物体検出 / 物体追跡 / 防犯カメラ / 映像監視 / コンテクスト / 多カメラ / 相互関係 / オンライン学習 |
|---|
| Research Abstract |
We propose an object detection framework especially for wide-area visual surveillance system. Existing methods usually make use of features which target objects usually have in common. However, those common features are sometimes insufficient for robust detection. Therefore, in this project, we model contextual information which isparticularly associated with a certain location. This enables us to detect targetsrobustly and efficiently.
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