Research Labs
Links
Active Vision Lab, University of Oxford
http://www.robots.ox.ac.uk/~lav/
Currently(2004) working in Whole body motion, hand tracking, wearable robot, Simultaneous Localisation And Mapping (SLAM) with a single camera.
Automatic Gait Recognition at Southampton
http://www.gait.ecs.soton.ac.uk/
Describe new approaches to recognising people by the way they walk. This is a new biometric, with particular application advantages (availability at distance, and non contact). Early results show that by computer vision we can indeed recognise people by their gait.
Computer Vision at Weizmann Institute of Science, Israel
http://www.wisdom.weizmann.ac.il/~irani/
Contains links to faculty members' pages, students pages and a number of demos.
Computer Vision Lab at University of Central Florida
Has a large section of downloadable papers. Section on Research Experience for Undergraduates (REU) includes a sample proposal and papers co-authored by REU students
Face Expression Recognition Project at UPM
http://www.dia.fi.upm.es/~lbaumela/FaceExpressionRecognition
Computer Vision-based face expression recognition research project. We are doing robust face tracking, background maintenance, colour constancy based tracking, face expression recognition, or camera calibration.
IBM Exploratory Computer Vision Group
http://www.research.ibm.com/ecvg/
IBM's Computer Vision Group - Research areas include PeopleVision, Biometrics and controlling computers by observing the user
Machine Vision Group at University of Ljubljana, Slovenia
Part of the Laboratory of Artificial Perception, this page includes biographies of group members and their research work, including list of publications
Robust Image Understanding Laboratory
http://www.caip.rutgers.edu/riul/index.html
Computer Vision Lab at Rutgers University, NJ. Research topics include Hetereoscedasticity, Robust Analysis, Bootstrap, Retrieval.
U.C. Berkeley Computer Vision Group
http://www.cs.berkeley.edu/projects/vision/vision_group.html
Contains description of research projects on segmentation, shape, object recognition, statistics of natural images, and human motion analysis. Publications, software and course materials are available for download.
UMASS Computer Vision Laboratory
Researching and investigating scientific principles underlying the construction of integrated vision systems.

