Real-time intruder detection in surveillance networks using adaptive kernel methods

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bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorAhmed, Tarem
dc.contributor.authorAhmed, Sabrina
dc.contributor.authorAhmed, Supriyo
dc.contributor.authorMotiwala, Murtaza
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2026-09-08T06:28:52Z
dc.date.available2026-09-08T06:28:52Z
dc.date.issued2010-08-13
dc.description.abstractIn this paper we apply a recursive algorithm based on kernel mappings to propose an automated, real-time intruder detection mechanism for surveillance networks. Our proposed method is portable and adaptive, and does not require any expensive or sophisticated components. Through application to real images from BRAC University's closed-circuit television system and comparison with common methods based on Principle Component Analysis (PCA), we show that it is possible to obtain high detection accuracy with low complexity.
dc.description.versionPublished
dc.identifier.citationT. Ahmed, S. Ahmed, S. Ahmed and M. Motiwala, "Real-Time Intruder Detection in Surveillance Networks Using Adaptive Kernel Methods," 2010 IEEE International Conference on Communications, Cape Town, South Africa, 2010, pp. 1-5, doi: 10.1109/ICC.2010.5502592.
dc.identifier.doi10.1109/ICC.2010.5502592
dc.identifier.issn05361486
dc.identifier.issn9781424464043
dc.identifier.other2-s2.0-77955403125
dc.identifier.urihttps://hdl.handle.net/10361/29820
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/ICC.2010.5502592
dc.relation.ispartofIEEE International Conference on Communications
dc.relation.ispartofseriesIEEE International Conference on Communications
dc.relation.urihttps://ieeexplore.ieee.org/document/5502592
dc.subjectSurveillance
dc.subjectAdaptive systems
dc.subjectPrincipal component analysis
dc.subjectMachine learning algorithms
dc.subjectSupport vector machines
dc.subjectVehicle detection
dc.subject.lcshIntrusion detection systems (Computer security).
dc.subject.lcshComputer security.
dc.titleReal-time intruder detection in surveillance networks using adaptive kernel methods
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id20435549100
person.identifier.scopus-author-id57696065400
person.identifier.scopus-author-id36241378600
person.identifier.scopus-author-id34873161300

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