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) |
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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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