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Sign Language Recognition Using Boosted Volumetric Features

Cooper, H and Bowden, R (2007) Sign Language Recognition Using Boosted Volumetric Features In: IAPR MVA 2007, 2007-05-16 - 2007-05-18, Tokyo, Japan.

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This paper proposes a method for sign language recognition that bypasses the need for tracking by classifying the motion directly. The method uses the natural extension of haar like features into the temporal domain, computed efficiently using an integral volume. These volumetric features are assembled into spatio-temporal classifiers using boosting. Results are presented for a fast feature extraction method and 2 different types of boosting. These configurations have been tested on a data set consisting of both seen and unseen signers performing 5 signs producing competitive results.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Cooper, H
Bowden, R
Date : 16 May 2007
Contributors :
ContributionNameEmailORCID Organisation,
Additional Information : © 2007 MVA. Posted with the publisher's permission.
Depositing User : Symplectic Elements
Date Deposited : 21 Jun 2012 08:33
Last Modified : 31 Oct 2017 14:34

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