Real-time adaptive background modeling in fast changing conditions

  • Pennisi A
  • Previtali F
  • Bloisi D
 et al. 
  • 5


    Mendeley users who have this article in their library.
  • 2


    Citations of this article.


Background modeling in fast changing scenarios is a challenging task due to unexpected events like sudden illumination changes, reflections, and shadows, which can strongly affect the accuracy of the foreground detection. In this paper, we describe a real-time and effective background modeling approach, called FAFEX, that can deal with global and rapid changes in the scene background. The method is designed to identify variations in the background geometry of the monitored scene and it has been quantitatively tested on a publicly available data set, containing a varied set of highly dynamic environments. The experimental evaluation demonstrates how our method is able to effectively deals with challenging sequences in real-time.

Author-supplied keywords

  • Adaptation models
  • Clustering algorithms
  • Computational modeling
  • Image color analysis
  • Lighting
  • Nickel
  • Real-time systems

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free