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Berjón Díez, Daniel ORCID: https://orcid.org/0000-0003-0584-7166, Cuevas Rodríguez, Carlos
ORCID: https://orcid.org/0000-0001-9873-8502, Morán Burgos, Francisco
ORCID: https://orcid.org/0000-0003-3837-692X and García Santos, Narciso
ORCID: https://orcid.org/0000-0002-0397-894X
(2012).
Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA.
In: "IEEE International Conference on Computer Electronics (ICCE 2012)", 13/01/2012 - 15/01/2012, Las Vegas, Nevada, USA. pp. 319-320.
https://doi.org/10.1109/ICCE.2012.6161886.
Title: | Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | IEEE International Conference on Computer Electronics (ICCE 2012) |
Event Dates: | 13/01/2012 - 15/01/2012 |
Event Location: | Las Vegas, Nevada, USA |
Title of Book: | IEEE International Conference on Computer Electronics (ICCE 2012) |
Date: | 2012 |
Subjects: | |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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A spatial-color-based non-parametric background-foreground modeling strategy in a GPGPU by using CUDA is proposed. This strategy is suitable for augmented-reality applications, providing real-time high-quality results in a great variety of scenarios.
Item ID: | 30509 |
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DC Identifier: | https://oa.upm.es/30509/ |
OAI Identifier: | oai:oa.upm.es:30509 |
DOI: | 10.1109/ICCE.2012.6161886 |
Deposited by: | Memoria Investigacion |
Deposited on: | 10 Sep 2014 19:24 |
Last Modified: | 22 Apr 2016 00:46 |