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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/292

Title: MOTION SEGMENTATION AND MEANSHIFT ASSISTED CONTOUR REFINEMENT FOR AIRBORNE VIDEO
Authors: Santhosh Kumar, G
Ratheesh, K
Supria Rao
Keywords: Machine vision
airborne video
surveillance
unmanned aerial vehicle
Issue Date: 22-Jun-2010
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
URI: http://hdl.handle.net/123456789/292
Appears in Collections:International Conferences

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