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Background Division, A Suitable Technique for Moving Object Detection

  • Walter Izquierdo-Guerra
  • Edel García-Reyes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6419)

Abstract

Nowadays, background model does not have any robust solution and constitutes one of the main problems in surveillance systems. Researchers are working in several approaches in order to get better background pixel models. This is a previous step to apply the background subtraction technique and results are not as good as expected. We concentrate our efforts on the second step for segmentation of moving objects and we propose background division to substitute background subtraction technique.This approach allows us to obtain clusters with lower intraclass variability and higher inter-class variability, this diminishes confusion between background and foreground,pixels.We compared results using our background division approach versus wallflowers algorithm [1] as the baseline to compare.

Keywords

Gaussian Mixture Model Background Subtraction Object Detection Background Model Illumination Change 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Walter Izquierdo-Guerra
    • 1
  • Edel García-Reyes
    • 1
  1. 1.Advanced Technologies Application Center (CENATAV)PlayaCuba

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