Sign Language Video Analysis For Automatic Recognition and Detection

Abstract : 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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Contributeur : Valentin Belissen <>
Soumis le : mercredi 12 juin 2019 - 13:58:08
Dernière modification le : vendredi 14 juin 2019 - 01:48:16


  • HAL Id : hal-02146366, version 1


Valentin Belissen. Sign Language Video Analysis For Automatic Recognition and Detection. 14th IEEE International Conference on Automatic Face and Gesture Recognition, May 2019, Lille, France. ⟨hal-02146366⟩



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