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Gesture Recognition Method using Tree Classification and Multiclass SVM
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다중 클래스 SVM과 트리 분류를 이용한 제스처 인식 방법

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Type
Academic journal
Author
Juhee Oh (중앙대학교) Taehyub Kim (중앙대학교) Hyunki Hong (중앙대학교)
Journal
The Institute of Electronics and Information Engineers Journal of the Institute of Electronics and Information Engineers Journal of the Institute of Electronics Engineers of Korea Vol.50 No.6 KCI Excellent Accredited Journal
Published
2013.6
Pages
238 - 245 (8page)

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Gesture Recognition Method using Tree Classification and Multiclass SVM
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Research history (2)

2013

Gesture Recognition Method using Tree Classification and Multiclass SVM
Juhee Oh ,  Taehyub Kim ,  Hyunki Hong Journal of the Institute of Electronics and Information Engineers 2013.06 Academic journal
Gesture Recognition Method using Tree Classification and Multiclass SVM
오주희 영상학과 2013.01 Thesis
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Abstract· Keywords

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Gesture recognition has been widely one of the research areas for natural user interface. This paper presents a novel gesture recognition method using tree classification and multiclass SVM(Support Vector Machine). In the learning step, 3D trajectory of human gesture obtained by a Kinect sensor is classified into the tree nodes according to their distributions. The gestures are resampled and we obtain the histogram of the chain code from the normalized data. Then multiclass SVM is applied to the classified gestures in the node. The input gesture classified using the constructed tree is recognized with multiclass SVM.
#Gesture recognition #Kinect #Classification tree #Multiclass SVM #Chain code

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 본론
Ⅲ. 실험
Ⅳ. 결론
REFERENCES

References (15)

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1. [학술대회논문] - M. Chen / 2010 / Controlling your TV with gestures / Proc. Int'l. Conf. Multimedia Information Retrieval : 405 ~ 408 google schola 2. [보고서] - H. P. Jain / 2010 / Real-time upper-body human pose estimation using a depth camera google schola 3. [학술대회논문] - S. Lin / 2010 / Real-time 3D model-based gesture tracking for multimedia control / Proc. Int'l. Conf. Pattern Recognition : 3822 ~ 3825 google schola 4. [학술지(정기간행물)] - H. Lee / 1999 / An HMM-based threshold model approach for gesture recognition / IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (10) : 961 ~ 973 google schola 5. [학술대회논문] - P. Hong / 2000 / Gesture modeling and recognition using finite state machines / Proc. of IEEE Int'l. Conf. on Automatic Face and Gesture Recognition : 410 ~ 415 google schola

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