A scene image classification technique for a ubiquitous visual surveillance system

A scene image classification technique for a ubiquitous visual surveillance system Multimed Tools Appl https://doi.org/10.1007/s11042-018-6151-x A scene image classification technique for a ubiquitous visual surveillance system Maryam Asadzadeh Kaljahi & Shivakumara Palaiahnakote & 2 1 Mohammad Hossein Anisi & Mohd Yamani Idna Idris & 3 4 Michael Blumenstein & Muhammad Khurram Khan Received: 18 September 2017 /Revised: 10 May 2018 /Accepted: 16 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The concept of smart cities has quickly evolved to improve the quality of life and provide public safety. Smart cities mitigate harmful environmental impacts and offences and bring energy-efficiency, cost saving and mechanisms for better use of resources based on ubiquitous monitoring systems. However, existing visual ubiquitous monitoring systems have only been developed for a specific purpose. As a result, they cannot be used for different scenarios. To overcome this challenge, this paper presents a new ubiquitous visual surveillance mechanism based on classification of scene images. The proposed mechanism supports * Mohammad Hossein Anisi m.anisi@essex.ac.uk * Mohd Yamani Idna Idris yamani@um.edu.my Maryam Asadzadeh Kaljahi asadzadeh@um.edu.my Shivakumara Palaiahnakote shiva@um.edu.my Michael Blumenstein michael.blumenstein@uts.edu.au Muhammad Khurram Khan mkhurram@ksu.edu.sa Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia School of Computer Science and Electronic Engineering, University http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

A scene image classification technique for a ubiquitous visual surveillance system

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6151-x
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-6151-x A scene image classification technique for a ubiquitous visual surveillance system Maryam Asadzadeh Kaljahi & Shivakumara Palaiahnakote & 2 1 Mohammad Hossein Anisi & Mohd Yamani Idna Idris & 3 4 Michael Blumenstein & Muhammad Khurram Khan Received: 18 September 2017 /Revised: 10 May 2018 /Accepted: 16 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The concept of smart cities has quickly evolved to improve the quality of life and provide public safety. Smart cities mitigate harmful environmental impacts and offences and bring energy-efficiency, cost saving and mechanisms for better use of resources based on ubiquitous monitoring systems. However, existing visual ubiquitous monitoring systems have only been developed for a specific purpose. As a result, they cannot be used for different scenarios. To overcome this challenge, this paper presents a new ubiquitous visual surveillance mechanism based on classification of scene images. The proposed mechanism supports * Mohammad Hossein Anisi m.anisi@essex.ac.uk * Mohd Yamani Idna Idris yamani@um.edu.my Maryam Asadzadeh Kaljahi asadzadeh@um.edu.my Shivakumara Palaiahnakote shiva@um.edu.my Michael Blumenstein michael.blumenstein@uts.edu.au Muhammad Khurram Khan mkhurram@ksu.edu.sa Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia School of Computer Science and Electronic Engineering, University

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: May 30, 2018

References

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