Sign Language Recognition: Working With Limited Corpora

Cooper, H and Bowden, R (2009) Sign Language Recognition: Working With Limited Corpora

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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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Divisions :	Surrey research (other units)
Authors :	Cooper, H and Bowden, R
Date :	19 July 2009
DOI :	10.1007/978-3-642-02713-0_50
Depositing User :	Symplectic Elements
Date Deposited :	28 Mar 2017 14:42
Last Modified :	23 Jan 2020 12:46
URI:	http://epubs.surrey.ac.uk/id/eprint/531464

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