1. UKM Learning and Research Repository
  2. Journal Article / Artikel Jurnal
  3. Journal Content Pages/ Kandungan Halaman Jurnal
Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/579102
Full metadata record
DC FieldValueLanguage
dc.contributor.authorY. M. Mustafah (IIUM)
dc.contributor.authorN. A. Zainuddin (IIUM)
dc.contributor.authorM. A. Rashidan (IIUM)
dc.contributor.authorN. N. A. Aziz (IIUM)
dc.contributor.authorM. I. Saripan (UPM)
dc.date.accessioned2023-11-06T03:14:45Z-
dc.date.available2023-11-06T03:14:45Z-
dc.date.issued2017-01
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:116455
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/579102-
dc.descriptionCCTV surveillance systems are widely used as a street monitoring tool in public and private areas. This paper presents a novel approach of an intelligent surveillance system that consists of adaptive background modelling, optimal trade-off features tracking and detected moving objects classification. The proposed system is designed to work in real-time. Experimental results show that the proposed background modelling algorithms are able to reconstruct the background correctly and handle illumination and adverse weather that modifies the background. For the tracking algorithm, the effectiveness between colour, edge and texture features for target and candidate blobs were analysed. Finally, it is also demonstrated that the proposed object classification algorithm performs well with different classes of moving objects such as, cars, motorcycles and pedestrians.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-1-1
dc.rightsUKM
dc.subjectAdaptive background modelling
dc.subjectDistributed cameras tracking
dc.subjectObject detection
dc.subjectintelligent surveillance
dc.titleIntelligent surveillance system for street surveillance
dc.typeJournal Article
dc.format.volume25
dc.format.pages181-190
dc.format.issue1
Appears in Collections:Journal Content Pages/ Kandungan Halaman Jurnal

Files in This Item:
File Description SizeFormat 
ukmvital_116455+Source01+Source010.PDF3.46 MBAdobe PDFThumbnail
View/Open
Show simple item record Recommend this item


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.