Recent work in our lab has been aimed at understanding how we recognize faces and people in motion. Does the motion of a face or body make the task of recognizing someone easier or more difficult? One part of this work has been to design and implement human memory experiments using stimuli that show face moving, expressing, and talking or that picture people from a distance and in motion. One purpose of these experiments is to begin to understand human recognition in naturalistic contexts. A second purpose is to set "benchmarks" and goals for computational models of person recognition. How good must an algorithm be to compete with a human observer on the same recognition task? Ultimately, we hope this work will be useful for determining the relative strengths and weaknesses of humans versus algorithms on face recognition tasks. A second part of this work has been to create a database of moving faces and people from which to draw realistic, but controlled stimulus items for testing human perception and memory.