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...
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...
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...
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...
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...