@conference{Foetal2009,
author = "Fotinea, Stavroula-Evita and Efthimiou, Eleni and Caridakis, G. and Diamanti, O. and Mitsiou, N. and Tzafestas, Costas and Maragos, P.",
abstract = "Here we present research work performed in the framework of the Greek national project DIANOEMA (GSRT, M3.3, id 35), focusing on the following activities: i) Development of innovative image analysis and computer vision algorithms for the effective visual analysis of video sequences, aiming at sign detection and tracking;  ii) Creation of a video-corpus of the Greek Sign Language (GSL) and annotation and modelling of an indicative subset of it; iii) Automatic recognition of indicative categories of GSL gestures using automatic computer vision systems pre-trained on the GSL corpus, and combining AI techniques, machine learning and probabilistic analysis for the estimation of gesture instantiations. iv) Integration of the above into a pilot application system of robot tele-operation, on the basis of a pre-defined vocabulary of simple signs for the tele-operation control.",
address = "Bielefeld, Germany",
booktitle = "Proc. of the 8th International Gesture Workshop",
keywords = "Sign language, sign gesture recognition, Deaf communication, HCI",
month = "Feb 25-27",
title = "{D}IANOEMA: {V}isual analysis and sign recognition for {G}SL modelling and robot teleoperation ",
year = "2009",
}