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Please use this identifier to cite or link to this item: http://purl.org/purl/4174

Title: Motion Segmentation And Meanshift Assisted Contour Refinement For Airborne Video
Authors: Santhosh Kumar, G
Ratheesh, K
Supriya, Rao
Keywords: Machine vision
motion segmentation
meanshift
airborne video
surveillance
unmanned aerial vehicle
Issue Date: 2008
Publisher: IADIS
Abstract: This paper presents methods for moving object detection in airborne video surveillance. The motion segmentation in the above scenario is usually difficult because of small size of the object, motion of camera, and inconsistency in detected object shape etc. Here we present a motion segmentation system for moving camera video, based on background subtraction. An adaptive background building is used to take advantage of creation of background based on most recent frame. Our proposed system suggests CPU efficient alternative for conventional batch processing based background subtraction systems. We further refine the segmented motion by meanshift based mode association.
Description: IADIS International Conference Computer Graphics and Visualization 2008
URI: http://dyuthi.cusat.ac.in/purl/4174
ISBN: 978-972-8924-63-8
Appears in Collections:Dr.Santhosh Kumar G

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