Moving object detection for real-time augmented reality applications in a GPGPU

Author

Cuevas, Carlos ; Berjón, Daniel ; Morán, Francisco ; García, Narciso

Author_Institution

Grupo de Tratamiento de Imagenes (GTI), Univ. Politec. de Madrid (UPM), Madrid, Spain

Volume

58

Issue

1

fYear

2012

fDate

2/1/2012 12:00:00 AM

Firstpage

117

Lastpage

125

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.

Keywords

augmented reality; consumer electronics; graphics processing units; image motion analysis; object detection; real-time systems; spatiotemporal phenomena; GPGPU; augmented reality tools; consumer electronic devices; general purpose graphics processing unit; moving object detection; object analysis tasks; real-time augmented reality applications; spatiotemporal-based nonparametric background-foreground modeling strategy; Bandwidth; Computational modeling; Hidden Markov models; Instruction sets; Kernel; Object detection; Real time systems;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/TCE.2012.6170063

Filename

6170063