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BMVC
2001

Illumination-Invariant Motion Detection Using Colour Mixture Models

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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.
Ming Xu, Tim Ellis
Added 30 Sep 2010
Updated 30 Sep 2010
Type Conference
Year 2001
Where BMVC
Authors Ming Xu, Tim Ellis
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