Illumination-Invariant Motion Detection Using Colour Mixture Models
Min Gang Xu, Tim J. Ellis · 2001
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. Illu-mination invariance and elimination or detection of shadows is achieved by using a colour chromaticity representation of the image data. The combina-tion of the colour- and intensity-based models results in some promising ap-plications. 1