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» A Hierarchical Approach to Sign Recognition
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CVPR
2009
IEEE
14 years 11 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
ICASSP
2009
IEEE
14 years 5 days ago
Product-HMMs for automatic sign language recognition
We address multistream sign language recognition and focus on efficient multistream integration schemes. Alternative approaches are investigated and the application of Product-HM...
Stavros Theodorakis, Athanassios Katsamanis, Petro...
WACV
2002
IEEE
13 years 10 months ago
Automatic Detection of Signs with Affine Transformation
In this paper, we propose an approach for detecting signs from natural scenes. The approach efficiently embeds multiresolution, adaptive search, and affine rectification algorithm...
Xilin Chen, Jie Yang, Jing Zhang, Alex Waibel
ICPR
2006
IEEE
14 years 6 months ago
Detecting Coarticulation in Sign Language using Conditional Random Fields
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
Ruiduo Yang, Sudeep Sarkar
AMFG
2007
IEEE
255views Biometrics» more  AMFG 2007»
13 years 9 months ago
A New Probabilistic Model for Recognizing Signs with Systematic Modulations
Abstract. This paper addresses an aspect of sign language (SL) recognition that has largely been overlooked in previous work and yet is integral to signed communication. It is the ...
Sylvie C. W. Ong, Surendra Ranganath