Browse > Article

Feature Point Extraction of Hand Region Using Vision  

Jeong, Hyun-Suk (군산대학교 전자정보공학부)
Joo, Young-Hoon (군산대학교 전자정보공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.58, no.10, 2009 , pp. 2041-2046 More about this Journal
Abstract
In this paper, we propose the feature points extraction method of hand region using vision. To do this, first, we find the HCbCr color model by using HSI and YCbCr color model. Second, we extract the hand region by using the HCbCr color model and the fuzzy color filter. Third, we extract the exact hand region by applying labeling algorithm to extracted hand region. Fourth, after finding the center of gravity of extracted hand region, we obtain the first feature points by using Canny edge, chain code, and DP method. And then, we obtain the feature points of hand region by applying the convex hull method to the extracted first feature points. Finally, we demonstrate the effectiveness and feasibility of the proposed method through some experiments.
Keywords
Color model; Fuzzy color filter; Labeling; Feature point; Convex hull;
Citations & Related Records

Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 V. I Pavlovic, R. Sharma, and T.S. Huang, 'Visual interpretation of hand gestures for human-computer interaction : a review', IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 10, No.7, 1997   DOI   ScienceOn
2 M. H. Kim, J. B. Park, and Y. H. Joo, 'Automatic Extraction of Facial Region Using Fuzzy Color Filter', Int. Sym. on Advanced Intelligent Systems, pp. 435-441, 2005, 10
3 D. Avis and G. T. Toussaint, 'An optimal algorithm for determining the visibility of a polygon from an edge', IEEE, Vol. C-30, pp. 910-914, Dec, 1981   DOI   ScienceOn
4 http://opencvlibrary.sourceforge.net
5 이길만, 문대성, 김성옥, 김민환, '실생활 환경에서의 손동작 인식 및 추적 방법', 한국멀티미디어학회 추계학술대회, Vol. 2 No.2, pp.577-582, 1999
6 G. Q. Lu, H. G. Xu, and Y. B. Li, 'Line detection based on chain code detection', Vehicular Electronics and Safety, 2005. IEEE Int. Conf., pp. 98-103, Oct, 2005
7 M. Ishikawa and H. Matsumura, 'Recognition of hand-gesture based on self-organization using a data glove', ICONIP '99, Vol. 2, pp.739-745, 1999
8 V. I Pavlovic, R. Sharma, and T. S. Huang, 'Visual interpretation of hand gestures for human-computer interaction: A review', IEEE PAMI, Vol. 19, No.7, pp.667-695, 1997   DOI   ScienceOn
9 S.S. Fels and G.E. Hinton, 'Glove-talk: A neural network interface between a data glove and a speech synthesizer', IEEE Trans. Neural Networks, Vol. 4, No.1, pp.2-8, Jan. 1993   DOI   ScienceOn
10 R. M. Haralick and L. G. Shapiro, 'Computer and robot vision', Addison-Wesley, 1992
11 J. Hershberger and J. Snoeyink, 'Speeding up the Douglas-Peucker line simplification algorithm', Proc. 5th Symposium on Data Handling, pp. 134-143, 1992
12 J. M. Rehg and T. Kanade, 'DigitEyes: vision-based hand tracking for human-computer interaction', Proceedings of the 1994 IEEE Workshop on, pp.16-22, Nov, 1994
13 J. Lee and T.L. Kunii, 'Model-based analysis of hand posture', Computer Graphics and Application. IEEE, Vol. 15, pp.77-86, Sept, 1995   DOI   ScienceOn