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dc.contributor.authorAksay, A.en_US
dc.contributor.authorTemizel, A.en_US
dc.contributor.authorÇetin, A. E.en_US
dc.date.accessioned2016-02-08T11:43:36Z
dc.date.available2016-02-08T11:43:36Z
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/11693/27074
dc.description.abstractIt is generally accepted that video surveillance system operators lose their concentration after a short period of time and may miss important events taking place. In addition, many surveillance systems are frequently left unattended. Because of these reasons, automated analysis of the live video feed and automatic detection of suspicious activity have recently gained importance. To prevent capture of their images, criminals resort to several techniques such as deliberately obscuring the camera view, covering the lens with a foreign object, spraying or defocusing the camera lens. In this paper, we propose some computationally efficient wavelet domain methods for rapid camera tamper detection and identify some real-life problems and propose solutions to these. © 2007 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/AVSS.2007.4425371en_US
dc.subjectCamerasen_US
dc.subjectComputer networksen_US
dc.subjectLensesen_US
dc.subjectOptical instrumentsen_US
dc.subjectVideo amplifiersen_US
dc.subjectWavelet transformsen_US
dc.subjectAutomated analysisen_US
dc.subjectAutomatic detectionen_US
dc.subjectcamera viewen_US
dc.subjectComputationally efficienten_US
dc.subjectConcentration (composition)en_US
dc.subjectdefocusingen_US
dc.subjectForeign objectsen_US
dc.subjectLive videoen_US
dc.subjectReal life problemsen_US
dc.subjectSurveillance System (MSS)en_US
dc.subjectTamper detectionen_US
dc.subjectVideo surveillanceen_US
dc.subjectVideo surveillance system (VSS)en_US
dc.subjectwavelet domainsen_US
dc.subjectSecurity systemsen_US
dc.titleCamera tamper detection using wavelet analysis for video surveillanceen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage558en_US
dc.citation.epage562en_US
dc.identifier.doi10.1109/AVSS.2007.4425371en_US


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