2015 Fiscal Year Final Research Report
Modeling and Control of Collective Behavior Based on Hybrid Interaction Model of Dynamics and Discrete Events
| Project/Area Number |
26540084
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perceptual information processing
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Keywords | 群行動モデル / 複数個体追跡 / 画像解析 / ハイブリッドシステム / インタラクション解析 / ネットワーク推定 / 映像刺激 / 魚群制御 |
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| Outline of Final Research Achievements |
The long-term goal of this research is to find the fundamental mechanism of controlling and navigating a fish group using a small number of imitated fish. In this two-year research period, we aimed at establishing a method to estimate collective fish interaction models from real fish trajectories of up to ten fish in a group. We first (1) developed underwater multi-object tracking method in 2-d and 3-d space, (2) designed video-based stimuli which have attractive or repulsive effects on a fish group, and then (3) built a framework to estimate a dynamic network topology of interaction among individuals in a fish group.
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| Free Research Field |
パターン認識
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