Open AccessImproved motion segmentation based on shadow detection
Author(s) -
Martin Kampel,
Allan Hanbury,
Philipp Blauensteiner,
Horst Wildenauer
Publication year - 2007
Publication title -
elcvia. electronic letters on computer vision and image analysis
Language(s) - English
Resource type - Journals
ISSN - 1577-5097
DOI - 10.5565/rev/elcvia.138
Subject(s) - chrominance , hue , artificial intelligence , luminance , computer vision , hsl and hsv , rgb color model , computer science , brightness , background subtraction , segmentation , chromatic scale , mathematics , saturation (graph theory) , pattern recognition (psychology) , pixel , optics , physics , virus , virology , combinatorics , biology
In this paper, we discuss common colour models for background subtraction and problems related to their utilisation are discussed. A novel approach to represent chrominance information more suitable for robust background modelling and shadow suppression is proposed. Our method relies on the ability to represent colours in terms of a 3D-polar coordinate system having saturation independent of the brightness function; specifically, we build upon an Improved Hue, Luminance, and Saturation space (IHLS). The additional peculiarity of the approach is that we deal with the problem of unstable hue values at low saturation by modelling the hue-saturation relationship using saturation-weighted hue statistics. The effectiveness of the proposed method is shown in an experimental comparison with approaches based on RGB, Normalised RGB and HSV