Browse > Article

A Study on Dynamic Hand Gesture Recognition Using Neural Networks  

조인석 (부산대 전기공학과)
박진현 (진주산업대 메카트로닉스공학과)
최영규 (부산대 전자전기정보컴퓨터공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.53, no.1, 2004 , pp. 22-31 More about this Journal
Abstract
This paper deals with the dynamic hand gesture recognition based on computer vision using neural networks. This paper proposes a global search method and a local search method to recognize the hand gesture. The global search recognizes a hand among the hand candidates through the entire image search, and the local search recognizes and tracks only the hand through the block search. Dynamic hand gesture recognition method is based on the skin-color and shape analysis with the invariant moment and direction information. Starting point and ending point of the dynamic hand gesture are obtained from hand shape. Experiments have been conducted for hand extraction, hand recognition and dynamic hand gesture recognition. Experimental results show the validity of the proposed method.
Keywords
Hand Gesture; Neural Network; Pattern Recognition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 J. S. R. Jang, C. T. Sun and E. Mizutani, Neuro-Fuzzy and Soft Computing, Prentice Hall, 1997
2 임영도, 퍼지.신경망.유전진화, 인솔미디어, pp. 107-144, 1999
3 R. Kjeldsen and J. Kender, 'Finding skin in color images,' Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, pp. 312-317, 1996
4 L. Jorde, M. Perrone, J.P. Costeira, 'Active face and feature tracking,', Proceedings of International Conference on Image Analysis and Processing, pp. 572-576, 1999   DOI
5 E. Y. Cha and M. H. Kang, 'Multiple target tracking in clutter backgrounds using self-organizing map,' IEEE International Joint Conference on Neural Networks, vol. 2, pp. 1162-1165, 1998   DOI
6 D. M. Gavrila, 'The visual analysis of human movement: a survey.' IDEAL Computer Vision and Image Understanding, vol. 73, No.1, pp. 82-98, January 1999   DOI   ScienceOn
7 J. C. Terrillon, M. David and S. Akamatsu, 'Automatic detection of human faces in natural scene images by use of skin color model and of invariant moment,' Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition, pp. 112-117, 1998   DOI
8 Y. Kanai, 'Images segmentation using intensity and color information' Proceedings of the IEEE Conference color information' Proceedings of the IEEE Conference on Visual Communications and Image Processing, 1997   DOI
9 R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, vol. 1. Addison-Wesley, 1993
10 D. J. Sturman, 'A survey of glove-based input,' IEEE Computer Graphics & Applications, pp. 30-39, Jan. 1994   DOI   ScienceOn
11 R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, 1,2, Addison-Wesley, 1993
12 오창석, 뉴로 컴퓨터, 지성 출판사, pp. 1-13, 1996
13 S. Birchfield, 'An elliptical head tracker,' Conference Record of the Thirty-First Asilomar Conference on Signals, Systems & Computers, vol. 2, pp.171O-1714, 1997   DOI
14 P. A. Laplante and A. D. Stoyenko, Realtime Imaging : Theory, Techniques and Application, IEEE Press, 1996
15 T. M. Chen, Ren C. Luo and T. H. Hsiao, 'Visual tracking using adaptive color histogram model,' Proceedings of IECON, vol. 3, pp. 1336-1341, 1999   DOI
16 W. Kim and J. J. Lee, 'Visual tracking using snake algorithm based on optical flow information,' Proceedings of the 14th KACC, pp. E13-E16, 1999
17 R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison Wesley, pp. 518-522, 1993
18 A. McAulay, A. Coker and K. Saruhan, 'Effect of noise in moment invariant neural network aircraft classification,' Proceedings of NAECON, pp. 743-749, 1991   DOI
19 H. K. Lee and J. H. Kim, 'An HMM-based threshold model approach for gesture recognition,' IEEE Transactions on Pattern Analysis and Manchine Intelligence, vol. 21, No. 10, October 1999   DOI   ScienceOn