Video-based turkish sign language recognition systems
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
CRC Press/Balkema
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Automatic recognition of sign language will be extremely beneficial for hearing impaired people, by allowing them to easily communicate with the outside world. Sign language is a non-verbal and visual language, which evolved detached from the spoken language and it is based on the simultaneous contribution of both temporal and spatial configurations. Even if it is spread all over the world, sign language is not a universal language and every country needs to build its own automatic system. This paper challenges the issue of the development of automatic video-based Turkish Sign Language (TSL) recognition systems; it presents two computer vision-based automatic systems for TSL recognition and compares their performances. Since we are using a newly released TSL database, this paper has also the side-effect to divulge the database to the research community. © 2016 Taylor & Francis Group, London.
Açıklama
5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 -- 19 October 2015 through 21 October 2015 -- -- 139759
Anahtar Kelimeler
Spatial-Temporal Features, Turkish Sign Language, Video-Based Sign Recognition, Audition, Computational Linguistics, Computer Vision, Image Processing, Medical Computing, Medical İmaging, Pattern Recognition, Visual Languages, Automatic Recognition, Recognition Systems, Research Communities, Sign Language, Sign Language Recognition, Sign Recognition, Spatial-Temporal Features, Temporal And Spatial, Medical İmage Processing
Kaynak
Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015
WoS Q Değeri
Scopus Q Değeri
N/A
