"Predicting 3D People from 2D Pictures" co-authored by Ph.D. candidate Leonid Sigal and Professor Michael Black, won the best paper award at the Forth International Conference on Articulated Motion and Deformable Objects (AMDO-e 2006) in Mallorca, Spain.

Sigal's research focuses on building vision systems that can detect and track people in images and video. Such vision systems have many applications in the entertainment industry, rehabilitation medicine, surveillance and robotics. Black and Sigal’s latest work uses statistical models and a novel hierarchical probabilistic framework to infer the 3-dimensional pose of a person from a single image ...