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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.accessioned2016-02-08T11:43:00Z
dc.date.available2016-02-08T11:43:00Z
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/11693/27050
dc.description.abstractIn the recent years, number of surveillance cameras deployed has increased significantly. However it is important that these cameras are functioning as intended and capturing meaningful data. Offenders resort to techniques such as blocking the camera view, using a foreign object to cover the lens, spray painting or de-focusing the camera lens to prevent capture of their images and recording of their actions. These cameras are often unattended or security guard might have lost his focus and if discovery of such an attempt is not immediate, even though there is no failure in the system and the images are still being recorded, these recordings are not useful. In this paper, we propose methods for real-time discovery of visibility loss and covered camera lens using background subtraction in wavelet domain. We also propose some methods to increase robustness of the system in real-life scenarios.en_US
dc.language.isoTurkishen_US
dc.source.title2007 IEEE 15th Signal Processing and Communications Applications, SIUen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2007.4298763en_US
dc.subjectBackground subtractionen_US
dc.subjectCamera viewen_US
dc.subjectForeign objectsen_US
dc.subjectSurveillance camerasen_US
dc.subjectVideo-surveillance applicationsen_US
dc.subjectVisibility lossen_US
dc.subjectWavelet domainsen_US
dc.subjectCamera lensesen_US
dc.subjectCamerasen_US
dc.subjectImage enhancementen_US
dc.subjectLensesen_US
dc.subjectOptical instrumentsen_US
dc.subjectPaint sprayingen_US
dc.subjectPaintingen_US
dc.subjectSignal processingen_US
dc.subjectSecurity systemsen_US
dc.titleCamera sabotage discovery for video surveillance applicationsen_US
dc.title.alternativeVideo gözetleme uygulamalarinda kamera sabotaj sezimien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.identifier.doi10.1109/SIU.2007.4298763en_US


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