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dc.contributor.authorTöreyin, B. U.en_US
dc.contributor.authorÇetin, A. E.en_US
dc.contributor.authorAksay, A.en_US
dc.contributor.authorAkhan, M. B.en_US
dc.date.accessioned2016-02-08T10:24:06Z
dc.date.available2016-02-08T10:24:06Z
dc.date.issued2005en_US
dc.identifier.issn0923-5965
dc.identifier.urihttp://hdl.handle.net/11693/24100
dc.description.abstractIn many surveillance systems the video is stored in wavelet compressed form. In this paper, an algorithm for moving object and region detection in video which is compressed using a wavelet transform (WT) is developed. The algorithm estimates the WT of the background scene from the WTs of the past image frames of the video. The WT of the current image is compared with the WT of the background and the moving objects are determined from the difference. The algorithm does not perform inverse WT to obtain the actual pixels of the current image nor the estimated background. This leads to a computationally efficient method and a system compared to the existing motion estimation methods. © 2005 Published by Elsevier B.V.en_US
dc.language.isoEnglishen_US
dc.source.titleSignal Processing: Image Communicationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.image.2004.12.002en_US
dc.subjectMoving region detectionen_US
dc.subjectWavelet compressed videoen_US
dc.titleMoving object detection in wavelet compressed videoen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage255en_US
dc.citation.epage264en_US
dc.citation.volumeNumber20en_US
dc.citation.issueNumber3en_US
dc.identifier.doi10.1016/j.image.2004.12.002en_US
dc.publisherElsevieren_US


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