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Reading the Signs: A Video Based Sign Dictionary

Cooper, HM, Pugeault, N and Bowden, R (2011) Reading the Signs: A Video Based Sign Dictionary In: ICCV 2011, 2011-11-06 - 2011-11-13, Barcelona, Spain.

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This article presents a dictionary for Sign Language using visual sign recognition based on linguistic subcomponents. We demonstrate a system where the user makes a query, receiving in response a ranked selection of similar results. The approach uses concepts from linguistics to provide sign sub-unit features and classifiers based on motion, sign-location and handshape. These sub-units are combined using Markov Models for sign level recognition. Results are shown for a video dataset of 984 isolated signs performed by a native signer. Recognition rates reach 71.4% for the first candidate and 85.9% for retrieval within the top 10 ranked signs.

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, HM
Pugeault, N
Bowden, R
Date : 2011
DOI : 10.1109/ICCVW.2011.6130349
Contributors :
Additional Information : Copyright 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Depositing User : Symplectic Elements
Date Deposited : 25 May 2012 09:19
Last Modified : 31 Oct 2017 14:33

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