Sign Language Video Analysis For Automatic Recognition and Detection
Résumé
This Research Project Summary presents ongoing work on automatic Sign Language Recognition (SLR) and detection, carried out as a PhD research project at the LIMSI, CNRS, France. It uses the French part of the Dicta-Sign corpus with 8 hours of annotated dialogues from 18 native speakers [1]. This work tackles the issue of extracting relevant information from a Sign Language (SL) video, and developing systems to recognize lexical signs or even high-level linguistic features.
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