Matthew Turk

TLA Based Face Tracking

Matthew Turk, PhD Associate Professor Computer Science Department and Media Arts and Technology Program University of California, Santa Barbara Url: http://www.cs.ucsb.edu/~mturk

Abstract

Human face tracking (HFT) is one of several technologies useful in vision-based interaction (VBI), which is one of several technologies useful in the broader area of perceptual user interfaces (PUI). In this paper we motivate our interests in PUI and VBI, and describe our recent efforts in various aspects of face tracking in the Interaction Lab at UCSB. The HFT methods (GWN, EHT, and CFD), in the context of VBI and PUI, are part of an overall “TLA approach” to face tracking.

Paper: in2-turk.pdf

Bio

Matthew Turk received a B.S.E.E. from Virginia Tech in 1982, then an M.S. degree in Electrical and Computer Engineering from Carnegie Mellon University in 1984, where his masters work was in the area of robot fine motion planning. He worked for Martin Marietta Denver Aerospace from 1984 to 1987, primarily on vision for autonomous robot navigation (part of DARPA's ALV program). In 1987 he went to the Massachusetts Institute of Technology, where he received a Ph.D. from the Media Lab in 1991 for his work on automatic face recognition. A paper on this work received an IEEE Computer Society Outstanding Paper award at the IEEE CVPR Conference in 1991; another received a "Most Influential Paper of the Decade" award from the IAPR MVA-2000 conference. After a brief post-doc at MIT, in 1992 Matthew moved to Grenoble, France as a visiting researcher at LIFIA/ENSIMAG, then took a position at Teleos Research (in Palo Alto, CA) in 1993. In August 1994, he joined Microsoft Research as a founding member of the Vision Technology Group. In August 2000, he joined the faculty of the University of California, Santa Barbara, as an Associate Professor in the Computer Science Department and in Media Arts and Technology, where he directs the Interaction Lab.