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CVPR
2012
IEEE
6 years 6 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
CVPR
2011
IEEE
7 years 8 months ago
Exploiting Phonological Constraints for Handshape Inference in ASL Video
Handshape is a key linguistic component of signs, and thus, handshape recognition is essential to algorithms for sign language recognition and retrieval. In this work, linguistic ...
Ashwin Thangali, Stan Sclaroff, Carol Neidle, Joan...
GW
2009
Springer
156views Biometrics» more  GW 2009»
8 years 2 months ago
Influence of Handshape Information on Automatic Sign Language Recognition
Research on automatic sign language recognition (ASLR) has mostly been conducted from a machine learning perspective. We propose to implement results from human sign recognition st...
Gineke A. ten Holt, Marcel J. T. Reinders, Emile A...
UAIS
2008
172views more  UAIS 2008»
8 years 4 months ago
Recent developments in visual sign language recognition
Abstract Research in the field of sign language recognition has made significant advances in recent years. The present achievements provide the basis for future applications with t...
Ulrich von Agris, Jörg Zieren, Ulrich Canzler...
MVA
2007
114views Computer Vision» more  MVA 2007»
8 years 5 months ago
Sign Language Recognition Using Boosted Volumetric Features
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 li...
Helen Cooper, Richard Bowden
LREC
2008
154views Education» more  LREC 2008»
8 years 5 months ago
Benchmark Databases for Video-Based Automatic Sign Language Recognition
A new, linguistically annotated, video database for automatic sign language recognition is presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several spea...
Philippe Dreuw, Carol Neidle, Vassilis Athitsos, S...
LREC
2008
117views Education» more  LREC 2008»
8 years 5 months ago
Collection and Preprocessing of Czech Sign Language Corpus for Sign Language Recognition
This paper discusses the design, recording and preprocessing of a Czech sign language corpus. The corpus is intended for training and testing of sign language recognition (SLR) sy...
Pavel Campr, Marek Hrúz, Jana Trojanov&aacu...
LREC
2010
191views Education» more  LREC 2010»
8 years 5 months ago
The SignSpeak Project - Bridging the Gap Between Signers and Speakers
The SignSpeak project will be the first step to approach sign language recognition and translation at a scientific level already reached in similar research fields such as automat...
Philippe Dreuw, Hermann Ney, Gregorio Martinez, On...
FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
8 years 6 months ago
Efficient approximations to model-based joint tracking and recognition of continuous sign language
We propose several tracking adaptation approaches to recover from early tracking errors in sign language recognition by optimizing the obtained tracking paths w.r.t. to the hypoth...
Philippe Dreuw, Jens Forster, Thomas Deselaers, He...
FGR
2006
IEEE
134views Biometrics» more  FGR 2006»
8 years 8 months ago
Expanding Training Set for Chinese Sign Language Recognition
In Sign Language recognition, one of the problems is to collect enough training data. Almost all of the statistical methods used in Sign Language Recognition suffer from this prob...
Chunli Wang, Xilin Chen, Wen Gao
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