Descripción
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Sophisticated strategies have been recently pro-posed for the detection of moving objects in non-stabilized camera setups. These strategies model both, background and foreground, using spatio-temporal non-parametric esti-mation. However, as no appropriate methods for dynamical kernel bandwidth are available, high-quality results cannot be obtained in all situations. Here, an automatic and efficient kernel bandwidth estimation strategy for spatio-temporal mod-eling is proposed. Background kernel bandwidth is estimated via a novel statistical analysis of spatially weighted data dis-tributions, whereas foreground kernel bandwidth is estimated using a mean shift based analysis of previously detected foreground regions. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Optical Engineering |
ISSN
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0091-3286 |
Factor de impacto JCR
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0,822 |
Información de impacto
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Volumen
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51 |
DOI
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10.1117/1.OE.51.4.040501 |
Número de revista
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4 |
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