Centre of mass model - A novel approach to background modelling for segmentation of moving objects

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dc.authoridOral, Mustafa/0000-0001-9127-8857
dc.contributor.authorOral, Mustafa
dc.contributor.authorDeniz, Umut
dc.date.accessioned2024-09-18T20:08:09Z
dc.date.available2024-09-18T20:08:09Z
dc.date.issued2007
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractThis paper describes a novel method, centre of mass model, to detect moving objects in a dynamic scene based on background subtraction. Any displacement of the position of centre of mass (CoMs) in two consecutive frames is the indicator of a moving object in a scene. Dividing a scene into subregions and modelling them as individual masses allow segmentation of the moving object(s). In the proposed scheme, an image is divided into blocks that are called super-pixels and each super-pixel is represented with the x and y components of CoM of a block. The segmentation is achieved by taking the absolute difference between CoM of current super-pixel and the mean of CoMs of previous corresponding super-pixels, and thresholding the difference with a dynamically updated value. A comparative work has been carried out to evaluate the performance of the proposed model and the previously reported seven different methods. The model produced consistent outputs for the images taken in different environmental conditions. The moving objects were successfully segmented with no post-processing operations. Centre of mass model demonstrated better overall performance than the methods previously reported. Its output was superior for auto-focused video images. (c) 2007 Published by Elsevier B.V.en_US
dc.identifier.doi10.1016/j.imavis.2006.10.001
dc.identifier.endpage1376en_US
dc.identifier.issn0262-8856
dc.identifier.issn1872-8138
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-34248588972en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1365en_US
dc.identifier.urihttps://doi.org/10.1016/j.imavis.2006.10.001
dc.identifier.urihttps://hdl.handle.net/20.500.12483/8675
dc.identifier.volume25en_US
dc.identifier.wosWOS:000247846000016en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofImage and Vision Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcentre of massen_US
dc.subjectimage modellingen_US
dc.subjectmotion segmentationen_US
dc.subjectbackground subtractingen_US
dc.titleCentre of mass model - A novel approach to background modelling for segmentation of moving objectsen_US
dc.typeArticleen_US

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