Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1795
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHati, K K-
dc.contributor.authorSa, Pankaj K-
dc.contributor.authorMajhi, B-
dc.date.accessioned2012-12-19T10:00:35Z-
dc.date.available2012-12-19T10:00:35Z-
dc.date.issued2012-12-
dc.identifier.citationThe Asia-Pacific Conference on Postgraduate Research in Microelectronics & Electronics (Prime Asia2012), December5-7,2012 in Hyderabad,Indiaen
dc.identifier.urihttp://hdl.handle.net/2080/1795-
dc.descriptionCopyright for this paper belongs to IEEEen
dc.description.abstractIn surveillance system video sequences are obtained through static cameras and fixed background. A popular approach called background subtraction is generally used in this scenario. Existing approaches in this field try to detect the object first and then remove the shadow in the subsequent phase. Here we have tried to combine both object detection and shadow removal module to a single module. In this work, a background model is proposed based upon the stationary pixels across the frames required for background model initialization. Considering the stationary and non-stationary pixel information background model is developed, which is used for background subtraction in subsequent phase. A local thresholding based background subtraction technique is proposed for foreground object extraction and removal of shadow. Experimental results shows that our method outperforms many state-of-the-art techniques. The proposed technique is robust to challenges like pose and illumination variations.en
dc.format.extent214391 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.subjectVideo Surveillanceen
dc.subjectBackground Modelen
dc.subjectBackground Subtractionen
dc.subjectSegmentationen
dc.subjectObject Detectionen
dc.titleLOBS: Local Background Subtracter for Video Surveillanceen
dc.typeArticleen
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
Prime Asia.pdf209.37 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.