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.