Monte Carlo Modeling for Simulation-Based Video Analysis
| Project/Area Number |
19700174
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
KAWAMOTO Kazuhiko Kyushu Institute of Technology, 総合メディア基盤センター, 准教授 (30345376)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥3,790,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥690,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2007: ¥800,000 (Direct Cost: ¥800,000)
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| Keywords | 逐次モンテカルロ法 / 粒子フィルタ / 統計的時系列解析 / 数値シミュレーション / 階層ベイズ / 超解像処理 / トラッキング / 自己位置推定 / 時系列解析 / モンテカルロ法 / 運動解析 / モンテカルロシミュレーション / 状態空間法 / 映像解析 / 画像処理 |
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| Research Abstract |
Computer simulation is a method for modeling real-world phenomena on computers. In computer simulation, a stochastic modeling approach is called Monte Carlo simulation, which includes repeated random sampling to compute results. In this research project, we applied Monte Carlo simulation to computer vision applications. In particular we developed a method for combining Monte Carlo simulation and observations captured by a video camera and applied the method
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Report
(4 results)
Research Products
(26 results)
