We present a fully automated method for real-time and marker-free 3D human motion capture. The system computes the 3D shape of the filmed person from a synchronized camera set. We obtain a robust and real-time system by using both a fast 3D shape analysis and a skin segmentation algorithm for human tracking. A skeleton-based approach eases the shape analysis. We are able to track fast and complex human motion in very difficult cases, like selfocclusion. Results on long video sequences with rapid and complex movements, demonstrate our approach robustness.