Research Publications in journals:
Moving object detection for real-time augmented reality applications in a GPGPU
Year:2012
Research Areas
- Video surveillance,
- Computer vision,
- Scene analysis
Information
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Abstract
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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. | |
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International
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Si |
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JCR
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Si |
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Title
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IEEE transactions on consumer electronics |
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ISBN
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0098-3063 |
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Impact factor JCR
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0 |
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Impact info
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Volume
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58 |
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10.1109/TCE.2012.6170063 |
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Journal number
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1 |
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From page
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117 |
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To page
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125 |
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Month
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FEBRERO |
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Ranking
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Open Access publication
Participants
- Autor: Carlos Cuevas Rodriguez UPM
- Autor: Daniel Berjon Diez UPM
- Autor: Francisco Moran Burgos UPM
- Autor: Narciso Garcia Santos UPM
Research Group, Departaments and Institutes related
- Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)