research-article

A model of an intelligent video-based security surveillance system for general indoor/outdoor environments

Authors:

Wayne Chelliah Naidoo,

Jules-Raymond TapamoAuthors Info & Claims

SAICSIT '08: Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology

Pages 159 - 168

https://doi.org/10.1145/1456659.1456678

Published: 06 October 2008 Publication History

Abstract

Over a decade ago, simply recording a few minutes of CCTV footage required special hardware. Today, with the emergence of new sensors and improved processing hardware, a relatively inexpensive personal computer can process and store video in real-time, which fundamentally enables our research. Automated visual surveillance is poised to be a key technology in the fight against crime, particularly in monitoring security sensitive areas. A significant advantage of this technology lies in its non-intrusive nature in multi-target tracking. In this paper, we present an automated attention mechanism that allows for the operation of vision-based surveillance systems in a wide variety of environments typical of general indoor/outdoor settings. Different applications of our system are demonstrated including real-time abandoned luggage detection and general outdoor person/vehicle classification.

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Cited By

Morales Cauti GVargas-Murillo ADe Jesus Guevara-Soto FYpanaque-Pereira I(2023)Intelligent Video Surveillance: Artificial Intelligence and its Applications on Security Systems2023 4th International Conference on Smart Electronics and Communication (ICOSEC)10.1109/ICOSEC58147.2023.10275947(986-991)Online publication date: 20-Sep-2023
https://doi.org/10.1109/ICOSEC58147.2023.10275947

Index Terms

A model of an intelligent video-based security surveillance system for general indoor/outdoor environments
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
        Video segmentation
      2. Computer vision tasks
        Scene understanding
  2. Machine learning
2. Information systems
  1. Information systems applications
    1. Multimedia information systems

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cover image ACM Other conferences

SAICSIT '08: Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology

October 2008

304 pages

ISBN:9781605582863

DOI:10.1145/1456659

Program Chairs:
Reinhardt Botha
Nelson Mandela Metropolitan University, South Africa
,
Charmain Cilliers
Nelson Mandela Metropolitan University, South Africa

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 06 October 2008

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SAICSIT '08: 2008 Annual Conference of the South African Institute of Computer Scientists and Information Technologists

October 6 - 8, 2008

Wilderness, South Africa

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Cited By

Morales Cauti GVargas-Murillo ADe Jesus Guevara-Soto FYpanaque-Pereira I(2023)Intelligent Video Surveillance: Artificial Intelligence and its Applications on Security Systems2023 4th International Conference on Smart Electronics and Communication (ICOSEC)10.1109/ICOSEC58147.2023.10275947(986-991)Online publication date: 20-Sep-2023
https://doi.org/10.1109/ICOSEC58147.2023.10275947

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