The objective evaluation of 2D-shape estimation results for moving objects in a video sequence is still an open problem. First approaches in the literature evaluate the spatial accuracy and the temporal coherency of the estimated 2D object shape. Thereby, it is not distinguished between several estimation errors located around the object contour and a few, but larger, estimation errors. Both cases would lead to similar evaluation results, although the 2D-shapes would be visually very different. To overcome this problem, in this paper, a new evaluation approach is proposed. In it, the evaluation of the spatial accuracy and the temporal coherency is based on the mean and the standard deviation of the 2D-shape estimation errors.