Intensity independent color models and visual tracking

Some intensity independent color models are studied experimentally in the scope of visual tracking to introduce robustness to illumination changes. Also, a plain color background model to allow modest camera motion is presented. The background is represented as a Gaussian mixture in color space. The EM algorithm is applied to find the decomposition and minimum description length principle is proposed to determine the number of mixture components. A simple tracking algorithm is outlined and the achieved results are introduced