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Auto-Adaptive Parallel SOM Architecture with a modular analysis for dynamic object segmentation in videos

  • Published:2016-01 Issue: Volume:175 Page:990-1000
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Ramírez-Alonso Graciela,Chacón-Murguía Mario I.

Funder

Fondo Mixto de Fomento a la Investigación Científica y Tecnológica CONACYT-Gobierno del Estado de Chihuahua

Tecnológico Nacional de México

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference38 articles.

1. Traditional and recent approaches in background modeling for foreground detection: an overview;Bouwmans;Comput. Sci. Rev.,2014

2. Background modeling using mixture of Gaussians for foreground detection – a survey;Bouwmans;Recent Patents Comput. Sci.,2008

3. A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos;Andrews Sobral;Comput. Vis. Image Underst.,2014

4. Evaluation of background subtraction techniques for video surveillance;Brutzer;Comput. Vis. Pattern Recognit.,2011

5. Moving object detection in spatial domain using background removal techniques – state-of-art;Elhabian;Recent Patents Comput. Sci.,2008

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