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ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
13 years 10 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
LREC
2008
117views Education» more  LREC 2008»
13 years 6 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...
HVEI
2009
13 years 2 months ago
Sign language perception research for improving automatic sign language recognition
Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can gi...
Gineke A. ten Holt, Jeroen Arendsen, Huib de Ridde...
CVPR
2009
IEEE
14 years 10 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
GW
2009
Springer
156views Biometrics» more  GW 2009»
13 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...