Understanding mechanisms: from images to behaviours

Presents a method for recognizing mechanisms and describing their behaviours from image sequences showing their relations. It uses a simple and expressive language for describing the behaviour of fixed-axes mechanisms. The language symbolically captures the important aspects of the kinematics and the simple dynamics of the mechanism. We show how this language combined with a vision system can automatically identify mechanisms and their behaviours from a sequence of images