Reliable background suppression for complex scenes

  • Authors:
  • Simone Calderara;Rudy Melli;Andrea Prati;Rita Cucchiara

  • Affiliations:
  • University of Modena and Reggio Emilia, Modena, Italy;University of Modena and Reggio Emilia, Modena, Italy;University of Modena and Reggio Emilia, Modena, Italy;University of Modena and Reggio Emilia, Modena, Italy

  • Venue:
  • Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
  • Year:
  • 2006

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Abstract

This paper describes a system for motion detection based on background suppression,specifically conceived for working in complex scenes with vacillating background,camouflage, illumination changing, etc.. The system contains proper techniques for background bootstrapping, shadow removal, ghost suppression and selective updating of the background model. The results on the challenging videos provided in VSSN '06 Open Source Algorithm Competition dataset demonstrate that the proposed system outperforms the widely-used mixture-of-Gaussians approach.