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Title:
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MOTION SEGMENTATION AND MEANSHIFT ASSISTEDCONTOUR REFINEMENT FOR AIRBORNE VIDEO |
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Author(s):
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Ratheesh K , Supriya Rao , Santhosh Kumar G |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Yingcai Xiao and Eleonore ten Thij |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Machine vision, motion segmentation, meanshift, airborne video, surveillance, and unmanned aerial vehicle |
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Type:
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Full Paper |
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First Page:
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112 |
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Last Page:
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118 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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. |
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