Research Abstracts - Vision and Sound Applied to People and Activity

MIT Artificial Intelligence Laboratory
Research Abstracts — 2000

Applied Artificial Intelligence and Learning Biologically Inspired Robots and Models Computational Support for People Foundations of Artificial Intelligence and Learning Medical Robots	Medical Vision Mobile Robotics New Models of Computation Vision and Sound Applied to People and Activity Vision Techniques

Vision and Sound Applied to People and Activity

Tony Ezzat	Audio Morphing"
Pedro F. Felzenszwalb	"Estimating Body Pose from A Single Image"
John Fisher & Trevor Darrell	"Audio-Visual Source Separation for Untethered Interface"
Martin Giese & Tomaso Poggio	"Learning Based Representation of Complex Movement Patterns"
Bernd Heisele	"Face Detection"
Purdy Ho & Bernd Heisele	"Face Identification"
Charlie Kemp	"Medial Axis Representations for the Analysis of Human Shape in Images"
Lily Lee	"Model-Based Human Body Tracking"
Nicole Sharlene Love	"Recognition of 3D Compressed Images and its Traffic Monitoring Applications"
Loius-Phillipe Morency & Trevor Darrell	"Tracking Face Pose and Expression with Range and Brightness Constraints"
Raquel Romano	"Geometric Analysis of Motion in Video"
Chris Stauffer & W. Eric L. Grimson	"Automatic Scene Activity Modeling"
Chris Stauffer & W. Eric L. Grimson	Tracking-Based Automatic Object Classification"
Chris Stauffer & W. Eric L. Grimson	"Unsupervised Audio Scene Analysis"
Leonid Taycher	"Tracking Articualted Figures with Cylindrical Limb Constraints"
John Viloria, David Demirdjian, Neal Checka & Trevor Darrell	"Person Tracking with Stereo Range Sensors"
Kevin Wilson & Trevor Darrell	"Vision-Aided Acoustic Array Processing for Perceptive Environments"