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Design and Implementation of A Cloud Based Intelligent Surveillance System

Zhou, Lei
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http://hdl.handle.net/10292/10464
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Abstract
Visual surveillance is widely used in different fields such as security, transportation,

medicine, and logistics. However, these videos and images require appropriate storage

and computing platforms. Cloud based surveillance systems are suitable for big data

processing and storage.

This thesis will discuss how architecture and function modules of a cloud based system

can be created, a cloud-based intelligent surveillance system (CISS) can be published

on a private cloud using a Virtual Machine (VM). Our users are able to connect a camera

at a desired location to CISS so that the system can capture videos and images, and then

push notifications to a web page where the users can watch the videos via the cloud.

This thesis presents an in-depth demonstration of how the portable and efficient cloud

based surveillance system (CISS) works. It makes full use of the cloud computing

technology, and applies computer vision technology to visual surveillance. The system

is able to quickly and accurately detect events from streaming videos, and apply the

feature of push notifications to achieve event based alarming in real time. The new

technology makes CISS more advanced than the conventional visual surveillance

system.

The overall objective of this thesis is to implement four key functionalities, (a)

streaming video input, (b) intelligent visual surveillance (IVS), (c) video transcoding

and storage in real time, (d) message push and media streaming output.
Keywords
Intelligent surveillance; Computer vision; Cloud storage; Push notification
Date
2016
Item Type
Thesis
Supervisor(s)
Yan, Wei Qi
Degree Name
Master of Computer and Information Sciences
Publisher
Auckland University of Technology

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