Networking Decentralized Surveillance System based on Cellular Vision Dynamics
| Project/Area Number |
17560400
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Control engineering
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| Research Institution | Hosei University |
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Principal Investigator |
KOBAYASHI Hisato Hosei University, Faculty of Engineering, Professor, 工学部, 教授 (30114820)
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| Co-Investigator(Kenkyū-buntansha) |
KAWAI Hiroyuki Kanazawa Institute of Technology, Faculty of Engineering, Assistant Professor, 工学部, 講師 (70410298)
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| Project Period (FY) |
2005 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥2,700,000 (Direct Cost: ¥2,700,000)
Fiscal Year 2006: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2005: ¥1,800,000 (Direct Cost: ¥1,800,000)
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| Keywords | Control Engineering / Intelligent Robotics / Visual Information / Surveillance System / Decentralized System |
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| Research Abstract |
The networked sensor technology has a potential capability to solve some of our most important scientific and societal problems. The networked sensors can acquire huge amount of information, especially in case of vision systems. But it has another aspect; if we build large-scale networked sensing system, we face to the serious problems, i.e., how we can handle such huge amount of information and how we can retrieve our necessary intelligence. Even if distributed data processing may alleviate the computational tasks and network traffics ; it might be very difficult for the central processor to rebuild and analyze the information of the whole space from the information gotten by decentralized processing. For this problem, we propose a new concept for information processing of networked vision sensors for motion detection. There are two aspects. 1) Supervisory Monitoring : The central processor does not treat local data directly; it retrieves necessary intelligence from Meta data acquired by local agents. 2) Changing Information Category : The central processor does not treat image data directly ; it retrieves necessary intelligence from different kind of physical value, i.e., motions of vision cells. Namely, the original data is transformed into a different type of physical value. In order to facilitate the understanding of our proposed concept, we made a simulator for recognizing movements of a crowd of people by using Matlab and Simulink with VRML(Virtual Reality Modeling Language) Toolbox. Moreover, we confirmed that the proposed concept can be utilized for motion detection by basic experiments focused on the supervisory monitoring.
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Report
(3 results)
Research Products
(11 results)
