Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA

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.

Description

Title: Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA
Author/s:
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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Abstract

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.

More information

Item ID: 30509
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
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