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...

Full description

Bibliographic Details
Main Author: Asirvadam , Vijanth Sagayan
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/1844/
http://scholars.utp.edu.my/id/eprint/1844/1/paper_5.pdf
_version_ 1848659176477163520
author Asirvadam , Vijanth Sagayan
author_facet Asirvadam , Vijanth Sagayan
author_sort Asirvadam , Vijanth Sagayan
building UTP Institutional Repository
collection Online Access
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 2025-11-13T07:26:16Z
format Conference or Workshop Item
id oai:scholars.utp.edu.my:1844
institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:26:16Z
publishDate 2009
recordtype eprints
repository_type Digital Repository
spelling oai:scholars.utp.edu.my:18442017-01-19T08:25:35Z http://scholars.utp.edu.my/id/eprint/1844/ CRISP SET IMPLEMENTATION ON VIDEO IMAGES FOR THE APPLICATION OF SURVEILLANCE SYSTEMS Asirvadam , Vijanth Sagayan QA75 Electronic computers. Computer science 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 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/1844/1/paper_5.pdf Asirvadam , Vijanth Sagayan (2009) CRISP SET IMPLEMENTATION ON VIDEO IMAGES FOR THE APPLICATION OF SURVEILLANCE SYSTEMS. In: 2nd International Conference on Computing and Informatics 2009.
spellingShingle QA75 Electronic computers. Computer science
Asirvadam , Vijanth Sagayan
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 QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/1844/
http://scholars.utp.edu.my/id/eprint/1844/1/paper_5.pdf