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Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments

  • Miguel A. Molina-CabelloEmail author
  • Ezequiel López-Rubio
  • Rafael Marcos Luque-Baena
  • Enrique Domínguez
  • Esteban J. Palomo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 527)

Abstract

Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which uses a uniform distribution to represent the foreground. A suitable set of characteristic pixel features is chosen to train the probabilistic model. Our approach has been compared to some competing methods on a test set of benchmark videos, with favorable results.

Keywords

Foreground detection Background modeling Probabilistic self-organising maps Background features 

Notes

Acknowledgments

This work is partially supported by the Ministry of Economy and Competitiveness of Spain under grant TIN2014-53465-R, project name Video surveillance by active search of anomalous events. It is also partially supported by the Autonomous Government of Andalusia (Spain) under projects TIC-6213, project name Development of Self-Organizing Neural Networks for Information Technologies; and TIC-657, project name Self-organizing systems and robust estimators for video surveillance. Finally, it is partially supported by the Autonomous Government of Extremadura (Spain) under the project IB13113. All of them include funds from the European Regional Development Fund (ERDF). The authors thankfully acknowledge the computer resources, technical expertise and assistance provided by the SCBI (Supercomputing and Bioinformatics) center of the University of Málaga.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Miguel A. Molina-Cabello
    • 1
    Email author
  • Ezequiel López-Rubio
    • 1
  • Rafael Marcos Luque-Baena
    • 2
  • Enrique Domínguez
    • 1
  • Esteban J. Palomo
    • 1
    • 3
  1. 1.Department of Computer Languages and Computer ScienceUniversity of MálagaMálagaSpain
  2. 2.Department of Computer Systems and Telematics EngineeringUniversity of Extremadura, University Centre of MéridaMéridaSpain
  3. 3.School of Mathematical Science and Information TechnologyUniversity of Yachay Tech.San Miguel de UrcuquíEcuador

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