Presentation 2005/3/18
Real time posture estimation of human hand using database with self-organized map
Takanobu TANIMOTO, Kiyoshi HOSHINO,
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Abstract(in English) In the conventional hand posture estimations, there was such a problem that special apparatus is indispensable for real time processing. In this study, a hand posture estimation system was proposed with database of hand images and joint angle data with processing time of 50 frames per a second. In the database, each image was devided into some areas from where the features were extracted, with higher-order local autocorreration function. Joint angle data paired with each image were obtained with a data glove. The number of features in the database was decreased and the images were sorted according to the self-organized map(SOM), so as to obtain the orderly database. When hand images were input to the system with a high speed camera, features of each image is sequentially extracted with the same method, and the candidate was selected according to the distance. The experimental results showed that the system performs with high accuracy within processing time of 20 ms for each image input with 2.8GHz CPU PC.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Database / Realtime / Hand posture estimation / Self-organized map
Paper # HIP2004-102
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Conference Information
Committee HIP
Conference Date 2005/3/18(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Real time posture estimation of human hand using database with self-organized map
Sub Title (in English)
Keyword(1) Database
Keyword(2) Realtime
Keyword(3) Hand posture estimation
Keyword(4) Self-organized map
1st Author's Name Takanobu TANIMOTO
1st Author's Affiliation University of Tsukuba()
2nd Author's Name Kiyoshi HOSHINO
2nd Author's Affiliation University of Tsukuba:JST
Date 2005/3/18
Paper # HIP2004-102
Volume (vol) vol.104
Number (no) 747
Page pp.pp.-
#Pages 6
Date of Issue