Illumination-Invariant Motion Detection Using Colour Mixture Models

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.

• Type: Conference
• Year: 2001
• Where: BMVC
• Authors: Ming Xu, Tim Ellis
• Keywords: Adaptive Background Estimation, BMVC 2001, Colour Chromaticity Representation, Computer Vision, Robust Change Detection