Lexicon-free fingerspelling recognition from video: Data, models, and signer adaptation
We study the problem of recognizing video sequences of fingerspelled letters in American
Sign Language (ASL). Fingerspelling comprises a significant but relatively understudied part …
Sign Language (ASL). Fingerspelling comprises a significant but relatively understudied part …
Fingerspelling recognition with semi-Markov conditional random fields
T Kim, G Shakhnarovich… - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
Recognition of gesture sequences is in general a very difficult problem, but in certain
domains the difficulty may be mitigated by exploiting the domain's" grammar". One such …
domains the difficulty may be mitigated by exploiting the domain's" grammar". One such …
Sign Language technologies and resources of the Dicta-Sign project
Here we present the outcomes of Dicta-Sign FP7-ICT project. Dicta-Sign researched ways to
enable communication between Deaf individuals through the development of human …
enable communication between Deaf individuals through the development of human …
Hand tracking and affine shape-appearance handshape sub-units in continuous sign language recognition
We propose and investigate a framework that utilizes novel aspects concerning probabilistic
and morphological visual processing for the segmentation, tracking and handshape …
and morphological visual processing for the segmentation, tracking and handshape …
[PDF][PDF] Dynamic affine-invariant shape-appearance handshape features and classification in sign language videos
We propose the novel approach of dynamic affine-invariant shape-appearance model (Aff-
SAM) and employ it for handshape classification and sign recognition in sign language (SL) …
SAM) and employ it for handshape classification and sign recognition in sign language (SL) …
Recognitionwith raw canonical phonetic movement and handshape subunits on videos of continuous sign language
S Theodorakis, V Pitsikalis… - 2012 19th IEEE …, 2012 - ieeexplore.ieee.org
The visual processing of Sign Language (SL) videos offers multiple interdisciplinary
challenges for image processing and recognition. Based on tracking and visual feature …
challenges for image processing and recognition. Based on tracking and visual feature …
American Sign Language fingerspelling recognition from video: Methods for unrestricted recognition and signer-independence
T Kim - arXiv preprint arXiv:1608.08339, 2016 - arxiv.org
In this thesis, we study the problem of recognizing video sequences of fingerspelled letters
in American Sign Language (ASL). Fingerspelling comprises a significant but relatively …
in American Sign Language (ASL). Fingerspelling comprises a significant but relatively …
On a maximizing model of spherical Bezdek-type possibilistic c-means and fuzzy multi-medoids clustering
Y Kanzawa - 2014 IEEE International Conference on Granular …, 2014 - ieeexplore.ieee.org
In this study, two clustering frameworks are proposed based on a maximizing model of
spherical Bezdek-type fuzzy clustering are proposed. One using possibilistic c-means, and …
spherical Bezdek-type fuzzy clustering are proposed. One using possibilistic c-means, and …
Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos
We propose the novel approach of dynamic affine-invariant shape-appearance model (Aff-
SAM) and employ it for handshape classification and sign recognition in sign language (SL) …
SAM) and employ it for handshape classification and sign recognition in sign language (SL) …
[PDF][PDF] Towards gestural understanding for intelligent robots
JN Fritsch - 2012 - core.ac.uk
A strong driving force of scientific progress in the technical sciences is the quest for systems
that assist humans in their daily life and make their life easier and more enjoyable …
that assist humans in their daily life and make their life easier and more enjoyable …