Color Connectedness Degree for Mean-Shift Tracking

This paper proposes an extension to the mean shift tracking. We introduce the color connectedness degrees (CCD) which, more than providing statistical information about the target to track, embeds information about the amount of connectedness of the color intervals which compose the target. With a low increase of complexity, this approach provides a better robustness and quality of the tracking compared to the use of the RGB space. This is asserted by the experiments performed on several sequences showing vehicles and pedestrians in various contexts.