DocumentCode :
2749619
Title :
A New Approach to Hand Tracking and Gesture Recognition by a New Feature Type and HMM
Author :
Bao, Pham The ; Binh, Nguyen Thanh ; Khoa, Tu Duy
Author_Institution :
Fac. of Math. & Comput. Sci., Univ. of Sci., Ho Chi Minh City, Vietnam
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
3
Lastpage :
6
Abstract :
In this paper, we introduce a hand gesture recognition system to recognize real time gestures in Vietnamese sign language system. In our system, there are three modules: real time hand tracking, training gesture and gesture recognition using pseudo two dimension hidden Markov models (P2-DHMMs). In the hand tracking module, we introduce a new robust algorithm to obtain hand region, called Tower method, and use skin color for hand gesture tracking and recognition. Next, a gesture recognition system is developed, which can reliably recognize single hand gesture on a standard camera. Furthermore, we propose a new feature type in gesture recognition to improve the accuracy of overall system. In the experiments, we have tested our system to vocabulary of 29 gestures in Vietnamese sign language system (VSL), and show the effectiveness of the system and Tower method.
Keywords :
gesture recognition; hidden Markov models; image colour analysis; natural language processing; tracking; Tower method; Vietnamese sign language system; gesture recognition module; hand gesture recognition system; hand gesture tracking; pseudo 2D hidden Markov models; real time hand tracking module; skin color; standard camera; training gesture module; Cameras; Handicapped aids; Hidden Markov models; Poles and towers; Real time systems; Robustness; Skin; Standards development; System testing; Vocabulary; Camshift method; Hand tracking; P2-DHMMs; Tower method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.276
Filename :
5359076
Link To Document :
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