Abstract: By generating reproducible brush strokes of Chinese ink painting, we propose an animation tool for lively displaying its real drawing process. Contrasted with previous work, we automatically extract this trajectory from the outlines of the shapes to draw and model the brush footprints; first an input image is decomposed into brush strokes. Then we estimate the brush trajectory with shape descriptions and build a brush footprint model to measure the quality of the trajectory constrained by the variation along a stroke of the draw process parameters（e.g., location, size, and orientation）. Finally, the trajectories are dynamically rendered into brush strokes with our real-time rendering model. It is particularly useful for appreciation and education of Chinese ink painting.