Title :
Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA
Author :
Berjón, Daniel ; Cuevas, Carlos ; Morán, Francisco ; García, Narciso
Author_Institution :
Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain
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.
Keywords :
augmented reality; graphics processing units; image colour analysis; image motion analysis; object detection; parallel architectures; real-time systems; CUDA; GPGPU; augmented reality applications; moving object detection strategy; real time high quality results; spatial color based nonparametric background-foreground modeling strategy; Augmented reality; Computational modeling; Consumer electronics; Graphics processing unit; Instruction sets; Object detection; Real time systems;
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0230-3
DOI :
10.1109/ICCE.2012.6161886
