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The UTOPIA Video Surveillance System Based on Cloud Computing

Authors:
Jong Won Park
Chang Ho Yun
Hak Geun Lee
Chul Sang Yoon
Hae Sun Jung
Yong Woo Lee

Keywords: Smart City; Cloud Computing; Smart Video Surveillance System; MapReduce; Networked Video System; Image Processing; Big Data

Abstract:
Smart City is an intelligent city which satisfies human beings’ desire to enjoy IT services with any device, anytime, anywhere and a future city model based on Internet of Everything (IoE) or Internet of Things (IoT). It includes a lot of video cameras which are networked together and the networked video cameras enable a lot of smart city services. The networked video cameras generate huge amount of video information, real big data for the smart city all the time and the smart city should process the big data in real-time in most cases. It requires a lot of computational power and usually takes a lot of time thus it is a very challenging task. Cloud computing can be a good solution to address this matter and there are many cloud computing methodologies. This paper presents our own methodology to analyze the video images using MapReduce. The methodology was implemented in our smart city middleware called SOUL, which was designed for our smart city called UTOPIA. Some of the implemented system is introduced in this paper. This paper also introduces smart analyzing functions of the video surveillance system in SOUL and how they use the scalable video streaming of SOUL to acquire the video data from the networked surveillance video cameras. The system is easy to be deployed, flexible and reliable. The performance evaluation was experimented and we found that our proposed system worked well. Some analyzed results of the performance evaluation are presented in this paper.

Pages: 8 to 13

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-388-9

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015