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Moving object detection for real-time augmented reality applications in a GPGPU
Citation
Cuevas Rodríguez, Carlos 
ORCID: https://orcid.org/0000-0001-9873-8502, Berjón Díez, Daniel ORCID: https://orcid.org/0000-0003-0584-7166, 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 for real-time augmented reality applications in a GPGPU.
"IEEE Transactions on Consumer Electronics", v. 58
(n. 1);
pp. 117-125.
ISSN 0098-3063.
https://doi.org/10.1109/TCE.2012.6170063.
Description
| Title: | Moving object detection for real-time augmented reality applications in a GPGPU |
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| Author/s: |
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| Item Type: | Article |
| Título de Revista/Publicación: | IEEE Transactions on Consumer Electronics |
| Date: | February 2012 |
| ISSN: | 0098-3063 |
| Volume: | 58 |
| Subjects: | |
| Freetext Keywords: | Moving object detection, real-time, augmented reality, spatio-temporal non-parametric modeling, GPGPU |
| Faculty: | E.T.S.I. Telecomunicación (UPM) |
| Department: | Señales, Sistemas y Radiocomunicaciones |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
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.
More information
| Item ID: | 30538 |
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| DC Identifier: | https://oa.upm.es/30538/ |
| OAI Identifier: | oai:oa.upm.es:30538 |
| DOI: | 10.1109/TCE.2012.6170063 |
| Official URL: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 17 Sep 2014 18:00 |
| Last Modified: | 22 Apr 2016 00:48 |
