Moving Shadow Detection with Support Vector Domain Description in the Color Ratios Space

Authors:
Kais Siala;Moez Chakchouk;Faten Chaieb;Olfa Besbes
Affiliations:
Telecommunication Studies and Research Centre (CERT) - RACINES, Tunisia;Telecommunication Studies and Research Centre (CERT) - RACINES, Tunisia;Telecommunication Studies and Research Centre (CERT) - RACINES, Tunisia;Telecommunication Studies and Research Centre (CERT) - RACINES, Tunisia
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Year:
2004

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Abstract

Moving shadow detection is a fundamental step in video-surveillance applications since it is generally confused with foreground. In this paper, 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.