Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
GPGPU Implementation of an Improved Nonparametric Background Modeling for Moving Object Detection Strategies
Year:2013
Research Areas
  • Processing and signal analysis
Information
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.
International
Si
Congress
IEEE International Conference on Consumer Electronics (ICCE)
960
Place
Las Vegas (NV), USA
Reviewers
Si
ISBN/ISSN
978-1-4673-1361-2
10.1109/ICCE.2013.6486778
Start Date
11/01/2013
End Date
14/01/2013
From page
23
To page
24
GPGPU Implementation of an Improved Nonparametric Background Modeling for Moving Object Detection Strategies
Participants
  • Autor: Carlos Cuevas Rodriguez (UPM)
  • Autor: Daniel Berjon Diez (UPM)
  • Autor: Francisco Moran Burgos (UPM)
  • Autor: Narciso Garcia Santos (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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