Descripción
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The last generation of consumer electronic devices is endowed with Augmented Reality (AR) tools. These tools require moving object detection strategies, which should be fast and efficient, to carry out higher level object analysis tasks. We propose a lightweight spatio-temporal-based non-parametric background-foreground modeling strategy in a General Purpose Graphics Processing Unit (GPGPU), which provides real-time high-quality results in a great variety of scenarios and is suitable for AR applications. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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IEEE transactions on consumer electronics |
ISSN
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0098-3063 |
Factor de impacto JCR
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0 |
Información de impacto
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Volumen
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58 |
DOI
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10.1109/TCE.2012.6170063 |
Número de revista
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1 |
Desde la página
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117 |
Hasta la página
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125 |
Mes
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FEBRERO |
Ranking
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