International Conference on Image Analysis and Processing

ICIAP 2015: New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops pp 218-225 | Cite as

A Likelihood-Based Background Model for Real Time Processing of Color Filter Array Videos

  • Vito Renó
  • Roberto Marani
  • Nicola Mosca
  • Massimiliano Nitti
  • Tiziana D’Orazio
  • Ettore Stella
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9281)

Abstract

One of the first tasks executed by a vision system made of fixed cameras is the background (BG) subtraction and a particularly challenging context for real time applications is the athletic one because of illumination changes, moving objects and cluttered scenes. The aim of this work is to extract a BG model based on statistical likelihood able to process color filter array (CFA) images taking into account the intrinsic variance of each gray level of the sensor, named Likelihood Bayer Background (LBB). The BG model should be not so computationally complex while highly responsive to extract a robust foreground. Moreover, the mathematical operations used in the formulation should be parallelizable, working on image patches, and computationally efficient, exploiting the dynamics of a pixel within its integer range. Both simulations and experiments on real video sequences demonstrate that this BG model approach shows great performances and robustness during the real time processing of scenes extracted from a soccer match.

Keywords

Real Time Processing Soccer Match Color Filter Array Smart Camera Foreground Mask 
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 International Publishing Switzerland 2015

Authors and Affiliations

  • Vito Renó
    • 1
  • Roberto Marani
    • 1
  • Nicola Mosca
    • 1
  • Massimiliano Nitti
    • 1
  • Tiziana D’Orazio
    • 1
  • Ettore Stella
    • 1
  1. 1.Institute of Intelligent Systems for Automation, Italian National Research CouncilBariItaly

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