Within the context of hand gesture recognition, spatiotemporal gesture segmentation is the
task of determining, in a video sequence, where the gesturing hand is located and when the …

Sign language spotting is the task of detecting and recognizing signs in a signed utterance,
in a set vocabulary. The difficulty of sign language spotting is that instances of signs vary in …

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 …

We present an approach to automatically recognize sign language and translate it into a
spoken language. A system to address these tasks is created based on state-of-the-art …

Expressions carry vital information in sign language. In this study, we have implemented a
multi-resolution Active Shape Model (MR-ASM) tracker, which tracks 116 facial landmarks …

A new interface to the ELAN annotation software that can handle automatically generated
annotations by a sign language recognition and translation framework is described. For …

We present a global overview of image-and video-processing-based methods to help the
communication of hearing impaired people. Two directions of communication have to be …

We propose several tracking adaptation approaches to recover from early tracking errors in
sign language recognition by optimizing the obtained tracking paths wrt to the hypothesized …

This thesis addresses the problem of vision based sign language recognition and focuses
on three main tasks to design improved techniques that increase the performance of sign …

For deaf persons to have ready access to information and communication technologies
(ICTs), the latter must be usable in sign language (SL), ie, include interlanguage interfaces …