Tracking colour objects using adaptive mixture models
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摘要
The use of adaptive Gaussian mixtures to model 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.
论文关键词：Real-time tracking,Colour model,Gaussian mixture model,Adaptive learning
论文评审过程：Received 6 October 1997, Revised 16 March 1998, Accepted 26 March 1998, Available online 4 March 1999.
论文官网地址：https://doi.org/10.1016/S0262-8856(98)00104-8
