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Descripción
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| A novel GPU-based nonparametric moving object detection strategy for computer vision tools requiring real-time processing is proposed. An alternative and efficient Bayesian classifier to combine nonparametric background and foreground models allows increasing correct detections while avoiding false detections. Additionally, an efficient region of interest analysis significantly reduces the computational cost of the detections. | |
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Internacional
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Si |
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Nombre congreso
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IEEE Int. Conf. on Consumer Electronics, ICCE 2014 |
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Tipo de participación
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960 |
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Lugar del congreso
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Las Vegas (NV), USA |
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Revisores
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Si |
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ISBN o ISSN
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2158-3994 |
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DOI
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10.1109/ICCE.2014.6776041 |
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Fecha inicio congreso
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10/01/2014 |
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Fecha fin congreso
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13/01/2014 |
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Desde la página
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359 |
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Hasta la página
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260 |
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Título de las actas
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IEEE Int. Conf. on Consumer Electronics, ICCE 2014 |