Segment Cluster Tracking is a new approach of motion analysis in the class of mapping methods/algorithms. It solves the correspondence problem by matching image regions, resp. features of image regions.The image regions are created by combining color segments - the result of a color segmentation- to segment clusters. The tracking task is to find best correspondences between clusters of segments in consecutive frames of a sequence.Segment Cluster Tracking has better computation time in comparison to the prior approach of so called n:m-Matching [Reh98] and in addition the possibility of using backward information. This leads to an increasing tracking quality and robustness [Ros03].