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» Sign Language Recognition Using Boosted Volumetric Features
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ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Sign Language Recognition from Homography
It is difficult to recognize sign language in different viewpoint. The HMM method is hindered by the difficulty of extracting view invariant features. The general template matchin...
Qi Wang, Xilin Chen, Chunli Wang, Wen Gao
CVPR
2012
IEEE
11 years 7 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
WACV
2005
IEEE
13 years 10 months ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens
ICCHP
2004
Springer
13 years 10 months ago
Progress in Automated Computer Recognition of Sign Language
Abstract. This paper reviews the extensive state of the art in automated recognition of continuous signs, from different languages, based on the data sets used, features computed, ...
Barbara L. Loeding, Sudeep Sarkar, Ayush Parashar,...
IBPRIA
2005
Springer
13 years 10 months ago
Robust Person-Independent Visual Sign Language Recognition
Sign language recognition constitutes a challenging field of research in computer vision. Common problems like overlap, ambiguities, and minimal pairs occur frequently and require...
Jörg Zieren, Karl-Friedrich Kraiss