DocumentCode :
2233877
Title :
Recovering three dimenensional hand motions of sign language from monocular image sequence
Author :
SUGIYAMA, Hideya ; Tanahashi, S. ; Aoki, Yoshinao
Author_Institution :
Grad. Sch. of Electron. & Inf. Eng., Hokkaido Univ., Sapporo, Japan
fYear :
1997
fDate :
9-12 Sep 1997
Firstpage :
1098
Abstract :
This paper proposes a method to recover three dimensional hand motions of Japanese sign language. This method uses skin-color information and edge and difference images. In this method, joint points are determined by considering a human body consisting of hierarchical structure. Also, we attempt to spot each word from a sentence by using estimated hand motion transitions. The experimental results show the validity of the proposed method
Keywords :
biocommunications; edge detection; image classification; image colour analysis; image sequences; medical image processing; Japanese; difference image; edge images; estimated hand motion transitions; hierarchical structure; human body; joint points; monocular image sequence; recovery; sentence; sign language; skin-color information; three dimenensional hand motions; word; Deafness; Elbow; Handicapped aids; Head; Humans; Image edge detection; Image sequences; Motion estimation; Natural languages; Shoulder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
Type :
conf
DOI :
10.1109/ICICS.1997.652151
Filename :
652151
Link To Document :
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