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Memorias de investigación
Communications at congresses:
High-quality Region-based Foreground Segmentation Using a Spatial Grid of SVM Classifiers
Year:2014
Research Areas
  • Electronic technology and of the communications
Information
Abstract
This paper presents a novel background modeling system that uses a spatial grid of Support Vector Machines classifiers for segmenting moving objects, which is a key step in many video-based consumer applications. The system is able to adapt to a large range of dynamic background situations since no parametric model or statistical distribution are assumed. This is achieved by using a different classifier per image region that learns the specific appearance of that scene region and its variations (illumination changes, dynamic backgrounds, etc.). The proposed system has been tested with a recent public database, outperforming other state-of-the-art algorithms.
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.2014.6776098
Start Date
10/01/2014
End Date
13/01/2014
From page
488
To page
489
IEEE Int. Conf. on Consumer Electronics, ICCE 2014
Participants
  • Autor: Xiaohan Zhang (Beijing University of Posts and Telecommunications)
  • Autor: Carlos Roberto del Blanco Adan (UPM)
  • Autor: Carlos Cuevas Rodriguez (UPM)
  • Autor: Fernando Jaureguizar Nuñez (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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