MIT Electrical Engineering and Computer Science Fall 2001 Catalogue Supplement

6.892 Computer Vision for Interface and Surveillance: Algorithms and Implications (H)

MW 1-2:30, Room 36-839
Professor Trevor Darrell, NE43-829, 308966
Prereq.: Permission of Instructor
3-0-9

Qualifies as a subject in the Artificial Intelligence Engineering Concentration.

The internet will soon have eyes -- computer vision systems that can detect, track and recognize people and other objects. These systems will enable new perceptual interfaces between man and machine, including smart videoconferencing, expressive avatars, and rooms that recognize users and their gestures. They will allow the widespread tracking of people in outdoor spaces, with clear implications to notions of community, public safety, and privacy. This class will survey the algorithms and techniques involved in vision-based perception of people, and analyze the privacy, freedom and safety implications of this new technology. We will discuss the questions of whether these goals must be mutually exclusive and under what conditions this technology empowers or constrains the individual user. Topics: Face Detection, Face Recognition, Appearance and Morphable models, Head Pose Estimation, Eye Gaze Tracking, Expression Recognition and FACS, Hand Tracking, Condesation (particle filter) Trackers, Gesture Recognition, Kinematic Pose Estimation, Dynamic Body Tracking, Outdoor Visual Surveillance, Indoor Tracking for Smart Environments, Activity Description and Detection, Biometric Security issues, Surveillance Privacy issues.

Course web site: http://www.ai.mit.edu/~trevor/6.892