My talk will describe some recent progress in modeling and estimating figure motion from monocular video. Two important themes are the separation of 2-D (registration) and 3-D (reconstruction) effects in kinematic modeling, and the role of learning in dynamic modeling. In particular, I will describe a framework for learning switching linear dynamic system models from data and show its application to figure motion. I will describe some applications to video editing and computer animation currently underway at Compaq Research.