FG-NET - Face and Gesture Recognition Working Group

A 6 partners EU-IST Concerted Action/Thematic Network (IST-2000-26434, 11/2001-10/2004). Official FG-Net homepage.

Project Summary

The aim of this project is to encourage technology development in the area of face and gesture recognition. The precise goals are: (1) to act as a focus for the workers developing face and gesture recognition technology (2) to create a set of foresight reports defining development roadmaps and future use scenarios for the technology in the medium (5-7 years) and long (10-20 years) term (3) to specify, develop and supply resources (e.g. image sets) supporting these scenarios (4) to use these resources to encouraging technology development. The use of shared resources and data sets to encourage the development of complex process and recognition systems has been very successful in the speech analysis and recognition field, and in the image analysis field in the specific cases where it has been applied. The basis of project, is that when properly defined and collects, such resources would also be of benefit in the development of wider problems in face and gesture recognition.

CVMT Work/Contribution

develop protocol for data acquisition
collect and annotate image data

Pointing and command gestures. Video sequence dataset:

Annotation tool

Participants at CVMT

Partners

Wolfson Image Analysis Unit, University of Manchester, UK (Co-ordinator)
Institut Dalle Molle d'Intelligence Artificelle Perceptive, Lausanne, Swiss
Institute for Human-Machine-Communication, TU Munich, Germany
Project PRIMA, INRIA Rhône-Alpes, France
School of Computer Science, Cyprus

Contact

Technial: Moritz Stoerring, Erik Granum
Administrative: Gitte Sørensen

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