Face Recognition and Verification in Still and Video Images

Friday, November 17, 2000 - 11:00am - 12:00pm
Keller 3-180
Rama Chellappa (University of Maryland)
Face recognition and verification from still and video images has important applications in surveillance, HCI design and access control. In this talk we will present our recent work on a number of problems in this area. Specifically we will discuss the following: algorithms for for face detection in still images using optimal shape operators, use of symmetry and shape from shading for designing algorithms that are robust to changes in illumination and pose, face detection from video, simultaneous tracking and verification of humans using sequential importance sampling techniques, shape-encoded tracking of human heads using branching-particle methods, gait-based recognition of humans using continuous HMM models and the Maryland real-time tracking system for tracking humans.