Ong, E.-J., Cooper, H., Pugeault, N. and Bowden, R. (2012) Sign Language Recognition using Sequential Pattern Trees. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, 16-21 Jun 2012, pp. 2200-2207. ISBN 9781467312288 (doi: 10.1109/CVPR.2012.6247928)
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Abstract
This paper presents a novel, discriminative, multi-class classifier based on Sequential Pattern Trees. It is efficient to learn, compared to other Sequential Pattern methods, and scalable for use with large classifier banks. For these reasons it is well suited to Sign Language Recognition. Using deterministic robust features based on hand trajectories, sign level classifiers are built from sub-units. Results are presented both on a large lexicon single signer data set and a multi-signer Kinect™ data set. In both cases it is shown to out perform the non-discriminative Markov model approach and be equivalent to previous, more costly, Sequential Pattern (SP) techniques.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Pugeault, Dr Nicolas |
| Authors: | Ong, E.-J., Cooper, H., Pugeault, N., and Bowden, R. |
| College/School: | College of Science and Engineering > School of Computing Science |
| ISSN: | 1063-6919 |
| ISBN: | 9781467312288 |
| Published Online: | 26 July 2012 |
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