| Project/Area Number |
24656248
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
System engineering
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| Research Institution | Tottori University |
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Principal Investigator |
KONDO Katsuya 鳥取大学, 工学(系)研究科(研究院), 教授 (00295750)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | システム情報処理 / 動線解析 / ベイズ理論 / 階層ディリクレ過程 |
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| Research Abstract |
Motion analysis of huge number of living objects in crowded scenes provides a new insight to us. However, it is generally difficult to detect and track moving objects in such scenes, and analysis of object's flows is a very challenging task. In this research, we focused on stochastic model of motion flows, object's shape and intensity distribution. And we proposed a system for individually tracking many objects in crowded scenes. This method applies Dirichlet Process Hidden Markov Model to the optical flows of moving objects. Each object is detected by calculating quadratic form of adaptive ring filter output and it is classified by support vector machine. The principal and experimental results showed that the huge flows can be analyzed, and each object can be individually tracked in such scenes.
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