Presentation 2010-03-16
Study of Recognizing Multiple Persons' Complicated Hand Gestures from an Active Image Sequence : Increasing the Number of Persons and Hand Gesture Categories
Luo Dan, Jun Ohya,
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Abstract(in English) Recognizing hand gestures from the video sequence acquired by a dynamic camera could be a useful interface for human robot communication. We propose a framework to extract and recognize hand gestures from moving camera images. We improved Human-Following Local Coordinate (HFLC) system to extract hand motion trajectories, and Condensation algorithm and PCA-based algorithm was performed to recognize extracted hand trajectories. Our experimental show the comparison between PCA based approach and Condensation algorithm on 51 kinds of sign language based Japanese and American Sign Language gestures obtained from 7 people.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Hand Gesture Extraction / Hand Gesture Recognition / Dynamic Camera Image / Condensation Algorithm / PCA
Paper # PRMU2009-302,HIP2009-187
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Committee HIP
Conference Date 2010/3/8(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study of Recognizing Multiple Persons' Complicated Hand Gestures from an Active Image Sequence : Increasing the Number of Persons and Hand Gesture Categories
Sub Title (in English)
Keyword(1) Hand Gesture Extraction
Keyword(2) Hand Gesture Recognition
Keyword(3) Dynamic Camera Image
Keyword(4) Condensation Algorithm
Keyword(5) PCA
1st Author's Name Luo Dan
1st Author's Affiliation Graduate School of Global Information and Telecommunication Studies, Waseda University()
2nd Author's Name Jun Ohya
2nd Author's Affiliation Graduate School of Global Information and Telecommunication Studies, Waseda University
Date 2010-03-16
Paper # PRMU2009-302,HIP2009-187
Volume (vol) vol.109
Number (no) 471
Page pp.pp.-
#Pages 6
Date of Issue