TRACKING BY COMBINING PHOTOMETRIC NORMALIZATION AND COLOR INVARIANTS ACCORDING TO THEIR RELEVANCE.
Paris Xi · 2007
This paper addresses the problem of robust feature points tracking by using specific color invariants –robust to specular reflections, lighting changes and to some extent to color lighting changes– when they are relevant and photometric normalization in the opposite case. Indeed, most color invariants become noisy or irrelevant for low saturation and/or low intensity. They can even make tracking fail. Combining them with luminance information yields to a more performant tracking, whatever the lighting conditions are. A few experiments on real image sequences prove the efficiency of this procedure.