The Design of Intelligent Residence Surveillance System Based on Grid Structure 劉家瑋、高富建
E-mail: [email protected]
ABSTRACT
A traditional residence surveillance system only can continuously capture monitoring images from image sensor that cannot actively perform the intelligent identification. Image sensors produce lots of continuous monitoring images so that the system spends a lot of time and storage space in processing these images, which is needlessly expensive. The system captures all images from image sensors in turn, so some monitoring blind spots exist among image sensors in the traditional surveillance system. This research proposed a design of intelligent residence surveillance system based on Grid structure to improve t he shortcoming of traditional surveillance systems in real-time monitoring. The proposed image sensor could judge whether images are abnormal or normal by comparing the difference of the background image and captured images; therefore, this could prevent from storing a large number of images that are normal. The proposed intelligent image sensor also provides a mechanism for multiple front-end image sensors to capture the monitoring images in real time and solve the problem of monitoring bind spots in the traditional surveillance system. In order to eliminate the congestion from images storing, this research proposed a distributed storing structure based on Grid technologies. The proposed system structure utilizes Ganglia Broker to integrate the backend-distributed computer resources and then solve congested problem. The proposed system also uses data replication to collect abnormal image files located at the back-end storing servers, and provides users to monitor and manage.
Keywords : Grid ; Intelligent Image Sensor ; Image Identification
Table of Contents
目錄 封面內頁 簽名頁 中文摘要... ii ABSTRACT... iii 致謝...
iv 目錄... v 圖目錄... vii 表目錄... ix 第一 章... 1 1.1 前言... 1 1.2 研究動機與目的... 2 1.3 論文架 構... 4 第二章 相關研究... 5 2.1 格網概念... 5 2.2 格網架
構... 7 2.3 GRID MIDDLEWARE... 10 2.3.1 GSI （Grid Security Infrastructure）... 12 2.3.2 資源管理...13 2.3.3 資訊服務...15 2.3.4 資料管理... 16 2.4 JAVA COG KIT... 20 第三章 Ganglia 代理伺服器設計... 22 3.1 改良型GANGLIA
BROKER...24 3.2 GANGLIA 系統安裝... 26 第四章 系統建構與數據分析... 31 4.1 影 像感測器設計與實作 ...32 4.2 智慧型居家保全系統之代理伺服器實作... 34 4.3 智慧型居家保全系統之影像儲 存伺服器設計與實作37 4.3.1 Globus安裝與設置Gridftp... 37 4.3.2 整合後端分散式影像儲存伺服器...45 4.4 GRID PORTAL設計...46 第五章 結論...47 參考文獻... 49 REFERENCES
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