Moving object detection and tracking in wavelet compressed video

buir.advisorÇetin, A. Enis
dc.contributor.authorTöreyin, Behçet Uğur
dc.date.accessioned2016-07-01T10:58:28Z
dc.date.available2016-07-01T10:58:28Z
dc.date.issued2003
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractIn many surveillance systems the video is stored in wavelet compressed form. An algorithm for moving object and region detection in video that 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. In a second aspect, size and locations of moving objects and regions in video is estimated from the wavelet coefficients of the current image, which differ from the estimated background wavelet coefficients. This is possible because wavelet coefficients of an image carry both frequency and space information. In this way, we are able to track the detected objects in video. Another feature of the algorithm is that it can determine slowing objects in video. This is important in many practical applications including highway monitoring, queue control, etc.en_US
dc.description.provenanceMade available in DSpace on 2016-07-01T10:58:28Z (GMT). No. of bitstreams: 1 0002363.pdf: 2536963 bytes, checksum: bce4ada27e77534c60ee35ec8f07e737 (MD5) Previous issue date: 2003en
dc.description.statementofresponsibilityTöreyin, Behçet Uğuren_US
dc.format.extentviii, 66 leaves, illustrations, tables, 30 cmen_US
dc.identifier.itemidBILKUTUPB072051
dc.identifier.urihttp://hdl.handle.net/11693/29360
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectwavelet transformen_US
dc.subjectvideo-based surveillance systemsen_US
dc.subjectnon-linear votingen_US
dc.subjectvideo object trackingen_US
dc.subjectbackground subtractionen_US
dc.subjectintra-frame compressionen_US
dc.subject.lccQA403.3 .T67 2003en_US
dc.subject.lcshWavelets (Mathematics) Software.en_US
dc.titleMoving object detection and tracking in wavelet compressed videoen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
0002363.pdf
Size:
2.42 MB
Format:
Adobe Portable Document Format
Description:
Full printable version