Illumination-Invariant Motion Detection Using Colour Mixture Models

M Xu and T Ellis

This paper tackles the problem of robust change detection in image sequences from static cameras. Motion cues are detected using frame differencing with an adaptive background estimation modelled by a mixture of Gaussians. Illumination invariance and elimination or detection of shadows is achieved by using a colour chromaticity representation of the image data. The combination of the colour-and intensity-based models results in some promising applications.

PDF version

Home Contents Author index Keyword index

Valid CSS! Valid HTML 4.01!

This document produced for BMVC 2001