Sign Language Recognition: Working with Limited Corpora

Authors:
Helen Cooper;Richard Bowden
Affiliations:
Centre for Vision, Speech and Signal Processing, University Of Surrey, Guildford, UK GU2 7XH;Centre for Vision, Speech and Signal Processing, University Of Surrey, Guildford, UK GU2 7XH
Venue:
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Year:
2009

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Abstract

The availability of video format sign language corpora limited. This leads to a desire for techniques which do not rely on large, fully-labelled datasets. This paper covers various methods for learning sign either from small data sets or from those without ground truth labels. To avoid non-trivial tracking issues; sign detection is investigated using volumetric spatio-temporal features. Following this the advantages of recognising the component parts of sign rather than the signs themselves is demonstrated and finally the idea of using a weakly labelled data set is considered and results shown for work in this area.