Tracking colour objects using adaptive mixture models
Image and Vision ComputingPublished 1 March 1999
S.J. McKenna, Yogesh Raja, Shaogang Gong
Citations313
SJR quartileQ1
SJR score0.79
SNIP1.33
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TL;DR
The use of adaptive Gaussian mixtures to model the colour distributions of objects is described to perform robust, real-time tracking under varying illumination, viewing geometry and camera parameters.
Abstract
The use of adaptive Gaussi an mixtures to mode the colour distributions of objects is described. These models are used to perform robust, real-time tracking under varying illumination, viewing geometry and camera parameters. Observed log-likelihood measurements were used to perform selective adaptation.
Keywords
Computer ScienceEngineering
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