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...
Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2009
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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. |
first_indexed | 2024-07-04T05:52:46Z |
format | Conference or Workshop Item |
id | uum-13460 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:52:46Z |
publishDate | 2009 |
record_format | eprints |
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 |
work_keys_str_mv | AT altahiraltahira crispsetimplementationonvideoimagesfortheapplicationofsurveillancesystems AT asirvadamvijanths crispsetimplementationonvideoimagesfortheapplicationofsurveillancesystems AT sebastianpatrick crispsetimplementationonvideoimagesfortheapplicationofsurveillancesystems |