DocumentCode :
1685525
Title :
GPGPU implementation of an improved nonparametric background modeling for moving object detection strategies
Author :
Cuevas, C. ; Berjon, Daniel ; Moran, F. ; Garcia, Narciso
Author_Institution :
Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain
fYear :
2013
Firstpage :
23
Lastpage :
24
Abstract :
A GPGPU-based real-time nonparametric modeling strategy for moving object detection is proposed. By dynamically estimating bandwidth matrices and by using a selective update mechanism, previous approaches are outperformed in quality while preserving their computational requirements.
Keywords :
graphics processing units; matrix algebra; motion estimation; nonparametric statistics; object detection; GPGPU-based real-time nonparametric modeling strategy; dynamic bandwidth matrix estimation; moving object detection strategies; nonparametric background modeling; selective update mechanism; Bandwidth; Computational modeling; Computer vision; Consumer electronics; Hardware; Object detection; Real-time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4673-1361-2
Type :
conf
DOI :
10.1109/ICCE.2013.6486778
Filename :
6486778
Link To Document :
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