Comparative analysis of two techniques for detection and segmentation of moving bodies
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2013-01-01
Autores
Filitto, Danilo [UNESP]
Hasegawa, Julio Kiyoshi [UNESP]
Polidorio, Airton Marco [UNESP]
Flores, Franklin Cesar [UNESP]
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Resumo
This paper makes a comparative analysis of results produced by the application of two techniques for the detection and segmentation of bodies in motion captured in images sequence, namely: 1) technique based on the temporal average of the values of each pixel recorded in N consecutive image frames and, 2) technique based on historical values associated with pixels recorded in different frames of an image sequence.
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2013 Joint Urban Remote Sensing Event (jurse). New York: IEEE, p. 9-12, 2013.