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Networking Decentralized Surveillance System based on Cellular Vision Dynamics

基于细胞视觉动力学的网络化分散监控系统

基本信息

批准号：
17560400
负责人：
KOBAYASHI Hisato
金额：
$ 1.73万
依托单位：
Hosei University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-17560400/
关键词：
Control Engineering Intelligent Robotics Visual Information Surveillance System Decentralized System

项目摘要

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.

网络传感器技术具有解决我们一些最重要的科学和社会问题的潜在能力。网络化传感器可以获取大量的信息，特别是在视觉系统中。但另一方面，如果我们建立大规模的网络化传感系统，我们面临着严重的问题，即，我们如何处理如此大量的信息，以及如何检索我们所需的情报。即使分布式数据处理可以减轻计算任务和网络流量，中央处理器也很难从分散处理获得的信息中重建和分析整个空间的信息。针对这个问题，我们提出了一个新的概念，用于运动检测的网络视觉传感器的信息处理。有两个方面。1)监督监测：中央处理器不直接处理本地数据;它从本地代理获取的Meta数据中检索必要的智能。2)改变信息类别：中央处理器不直接处理图像数据;它从不同种类的物理值中检索必要的智能，即，视觉细胞的运动。也就是说，原始数据被转换为不同类型的物理值。为了便于理解我们提出的概念，我们做了一个模拟器识别人群的运动，通过使用Matlab和Simulink与VRML（虚拟现实建模语言）接口。此外，我们证实，所提出的概念可以用于运动检测的基本实验集中在监督监测。