Video Surveillance based on Cloud Computing

碩士 === 國立中央大學 === 資訊工程學系碩士在職專班 === 100 === In order to solve the problem of integrating, deploying, and time-consuming developing video surveillance system, this research is to conduct a cloud computing-based intelligent video monitoring platform which includes GVM, GPP editor, video surveillance so...

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Bibliographic Details
Main Authors: Yu-ming Chen, 陳宥銘
Other Authors: Ching-Han Chen
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/60943892591508915714
Description
Summary:碩士 === 國立中央大學 === 資訊工程學系碩士在職專班 === 100 === In order to solve the problem of integrating, deploying, and time-consuming developing video surveillance system, this research is to conduct a cloud computing-based intelligent video monitoring platform which includes GVM, GPP editor, video surveillance software, and OpenCV middleware services. Developer is able to monitor web cam remotely and receive the change of monitoring area via our video surveillance software. And, the tool helps to apply GPP application system on cloud, no matter in the environment of private clouds, public clouds or hybrid clouds. Additionally, developer is able to develop customized image processing and analysis via OpenCV function from GVM middleware. You can also use GPP editor to write GPP application program and generate coding table which will be sent to GVM over the network. Then, GVM kernel will interpret the coding table and execute all the discrete state, actions and transfer conditions. After validation, adopting this platform simplifies the difficulty of design and deployment system. Even developer is not professional programmer, he can implement GPP application development quickly. With GVM, developer posts updates any time and expand functions.