A description of models and algorithms that are capable of performing face recognition in a dynamic setting. The key question is how to design computer-vision and machine-learning algorithms that can operate robustly and quickly under poorly-controlled and changing conditions. Consideration of face recognition as a problem in dynamic vision is perhaps both novel and important. The algorithms described have numerous potential applications in areas such as visual surveillance, verification, access control, video-conferencing, multimedia and visually-mediated interaction.