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Citation
p. 331-339, 2011. : Towards Automatic Annotation of Sign Language Dictionary Corpora . Lecture Notes in Computer Science,
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Abstract
This paper deals with novel automatic categorization of signs used in sign language dictionaries. The categorization provides additional information about lexical signs interpreted in the form of video files. We design a new method for automatic parameterization of these video files and categorization of the signs from extracted information. The method incorporates advanced image processing for detection and tracking of hands and head of signing character in the input image sequences. For tracking of hands we developed an algorithm based on object detection and discriminative probability models. For the tracking of head we use active appearance model. This method is a very powerful for detection and tracking of human face. We specify feasible conditions of the model enabling to use the extracted parameters for basic categorization of the non-manual component. We introduce an experiment with the automatic categorization determining symmetry, location and contact of hands, shape of mouth, close eyes and others. The result of experiment is primary the categorization of more than 200 signs and discussion of problems and next extension.
Detail of publication
Title: | Towards Automatic Annotation of Sign Language Dictionary Corpora |
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Author: | Hrúz Marek ; Krňoul Zdeněk ; Campr Pavel ; Muller Ludek |
Language: | English |
Date of publication: | 22 Oct 2011 |
Year: | 2011 |
Type of publication: | Papers in journals |
Book title: | Lecture Notes in Computer Science |
Page: | 331 - 339 |
DOI: | 10.1007/978-3-642-23538-2_42 |
ISSN: | 0302-9743 |
Keywords
sign language, computer vision, categorization, annotation
BibTeX
@ARTICLE{HruzMarek_2011_TowardsAutomatic, author = {Hr\'{u}z Marek and Kr\v{n}oul Zden\v{e}k and Campr Pavel and Muller Ludek}, title = {Towards Automatic Annotation of Sign Language Dictionary Corpora}, year = {2011}, pages = {331-339}, booktitle = {Lecture Notes in Computer Science}, ISSN = {0302-9743}, doi = {10.1007/978-3-642-23538-2_42}, url = {http://www.kky.zcu.cz/en/publications/HruzMarek_2011_TowardsAutomatic}, }