Crisp set implementation on video images for the application of surveillance systems

Observing moving objects in far field’s video surveillance is one of the main application areas in computer vision.The strong interest in this research direction is driven by creating full automotive surveillance applications.This paper presents implementing a crisp set on video images in order to e...

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Bibliographic Details
Main Authors: Altahir, Altahir A., Asirvadam, Vijanth S., Sebastian, Patrick
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/13460/1/PID20.pdf
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author Altahir, Altahir A.
Asirvadam, Vijanth S.
Sebastian, Patrick
author_facet Altahir, Altahir A.
Asirvadam, Vijanth S.
Sebastian, Patrick
author_sort Altahir, Altahir A.
collection UUM
description Observing moving objects in far field’s video surveillance is one of the main application areas in computer vision.The strong interest in this research direction is driven by creating full automotive surveillance applications.This paper presents implementing a crisp set on video images in order to evaluate human activities in far field’s surveillance systems.Reducing the storage capacity in surveillance systems is discussed also in this paper.The concept is based on extracting two powerful attributes from objects motion, namely velocity and pixel frequency distribution. This step followed by combining the measurements mentioned above via crisp set rules in order to evaluate the active section in the image plane and to determine the suitable storing rate. The experimental results proved the efficiency of the novel approach.
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spelling uum-134602015-03-31T09:16:32Z https://repo.uum.edu.my/id/eprint/13460/ Crisp set implementation on video images for the application of surveillance systems Altahir, Altahir A. Asirvadam, Vijanth S. Sebastian, Patrick QA76 Computer software Observing moving objects in far field’s video surveillance is one of the main application areas in computer vision.The strong interest in this research direction is driven by creating full automotive surveillance applications.This paper presents implementing a crisp set on video images in order to evaluate human activities in far field’s surveillance systems.Reducing the storage capacity in surveillance systems is discussed also in this paper.The concept is based on extracting two powerful attributes from objects motion, namely velocity and pixel frequency distribution. This step followed by combining the measurements mentioned above via crisp set rules in order to evaluate the active section in the image plane and to determine the suitable storing rate. The experimental results proved the efficiency of the novel approach. 2009-06-24 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13460/1/PID20.pdf Altahir, Altahir A. and Asirvadam, Vijanth S. and Sebastian, Patrick (2009) Crisp set implementation on video images for the application of surveillance systems. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur. http://www.icoci.cms.net.my
spellingShingle QA76 Computer software
Altahir, Altahir A.
Asirvadam, Vijanth S.
Sebastian, Patrick
Crisp set implementation on video images for the application of surveillance systems
title Crisp set implementation on video images for the application of surveillance systems
title_full Crisp set implementation on video images for the application of surveillance systems
title_fullStr Crisp set implementation on video images for the application of surveillance systems
title_full_unstemmed Crisp set implementation on video images for the application of surveillance systems
title_short Crisp set implementation on video images for the application of surveillance systems
title_sort crisp set implementation on video images for the application of surveillance systems
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/13460/1/PID20.pdf
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AT asirvadamvijanths crispsetimplementationonvideoimagesfortheapplicationofsurveillancesystems
AT sebastianpatrick crispsetimplementationonvideoimagesfortheapplicationofsurveillancesystems