In this paper a method for improving a tracking algorithm in an augmented
reality application is presented. This method addresses several issues to this
particular application, like marker-less tracking and color constancy with low
quality cameras, or precise tracking with real-time constraints. Due to size restrictions
some of the objects are tracked using color information. To improve the
quality of the detection, a color selection scheme is proposed to increase color
distance between different objects in the scene. Moreover, a new color constancy
method based in a diagonal-offset model and k-means is presented. Finally, some
real images are used to show the improvement with this new method.
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