Moving shadow detection with support vector domain description in the color ratios space

@article{Siala2004MovingSD,
  title={Moving shadow detection with support vector domain description in the color ratios space},
  author={Kais Siala and Moez Chakchouk and Faten Chaieb and Olfa Besbes},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  year={2004},
  volume={4},
  pages={384-387 Vol.4}
}
Moving shadow detection is a fundamental step in video-surveillance applications since it is generally confused with foreground. We propose a novel statistical non-parametric method to detect moving shadow in a road traffic image sequences. We consider a diagonal model to describe the shadow distortion in the RGB color space. A support vector domain description (SVDD) algorithm is applied in the color ratios space in order to discriminate shaded pixels from foreground. 
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Vehicle tracking by label following

  • K. Siala, O. Besbes, M. Chakchouk
  • In Proceedings of the International Symposium on…
  • 2003
1 Excerpt

Robust denoising and moving shadows in traffic scenes

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