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Memorias de investigación
Communications at congresses:
Region-based Moving Object Detection Using Spatially Conditioned Nonparametric Models in a GPU
Year:2014
Research Areas
  • Electronic technology and of the communications
Information
Abstract
A novel GPU-based nonparametric moving object detection strategy for computer vision tools requiring real-time processing is proposed. An alternative and efficient Bayesian classifier to combine nonparametric background and foreground models allows increasing correct detections while avoiding false detections. Additionally, an efficient region of interest analysis significantly reduces the computational cost of the detections.
International
Si
Congress
IEEE Int. Conf. on Consumer Electronics, ICCE 2014
960
Place
Las Vegas (NV), USA
Reviewers
Si
ISBN/ISSN
2158-3994
10.1109/ICCE.2014.6776041
Start Date
10/01/2014
End Date
13/01/2014
From page
359
To page
260
IEEE Int. Conf. on Consumer Electronics, ICCE 2014
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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