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This paper addresses the problem of visual target tracking by use of robust primitives. More precisely, we evaluate the use of color segments features in a matching procedure and compare the dichromatic color lines (Gouiffes and Zavidovique, 2008) with the existing ones, defined in the HSV color space. The motion parameters of the target to track are computed through a voting strategy, where each pair of color segments votes first for one new location, then for two scale changes. Their vote is weighted according to the pairing relevancy and to their location in the bounding box of the tracked object. The comparison is made in terms of robustness to color illumination changes and in terms of quality (robustness of the location of the target during the time). Experiments are carried out on pedestrian and car image sequences. Finally, the dichromatic lines provide a better robustness to appearance changes with fewer primitives. It finally results in a better quality of the

SEGMENTS OF COLOR LINES - A Comparison through a Tracking Procedure