DocumentCode :
3452040
Title :
Gesture recognition using depth-based hand tracking for contactless controller application
Author :
Yang, Cheoljong ; Jang, Yujeong ; Beh, Jounghoon ; Han, David ; Ko, Hanseok
Author_Institution :
Vision Inf. Process., Korea Univ., Seoul, South Korea
fYear :
2012
fDate :
13-16 Jan. 2012
Firstpage :
297
Lastpage :
298
Abstract :
This paper proposes a gesture recognition system capable of providing a contactless controller via depth-based hand tracking. Main proposal is a hand tracking algorithm in depth image by calculating a hand weighted probability. An implementation of the proposed system into a contactless controller application demonstrated its effectiveness.
Keywords :
gesture recognition; object tracking; probability; contactless controller application; depth based hand tracking algorithm; depth image; gesture recognition system; hand weighted probability; Gesture recognition; Hidden Markov models; Histograms; Image color analysis; Target tracking; Wrist;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4577-0230-3
Type :
conf
DOI :
10.1109/ICCE.2012.6161876
Filename :
6161876
Link To Document :
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