Browse > Article
http://dx.doi.org/10.5762/KAIS.2014.15.7.4508

A Study on Adaptive Skin Extraction using a Gradient Map and Saturation Features  

Hwang, Dae-Dong (Dept. of Computer Engineering, Hankyong National University)
Lee, Keun-Soo (Dept. of Computer Engineering, Hankyong National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.15, no.7, 2014 , pp. 4508-4515 More about this Journal
Abstract
Real-time body detection has been researched actively. On the other hand, the detection rate of color distorted images is low because most existing detection methods use static skin color model. Therefore, this paper proposes a new method for detecting the skin color region using a gradient map and saturation features. The basic procedure of the proposed method sequentially consists of creating a gradient map, extracting a gradient feature of skin regions, noise removal using the saturation features of skin, creating a cluster for extraction regions, detecting skin regions using cluster information, and verifying the results. This method uses features other than the color to strengthen skin detection not affected by light, race, age, individual features, etc. The results of the detection rate showed that the proposed method is 10% or more higher than the traditional methods.
Keywords
color recognition; computer vision; image processing; skin color;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 R.L. Hsu, M. Abdel-Mottaleb, "Face Detection in Color Images", IEEE Transactions on Pattern Analysis and Machine Intelligence, v.24, n.5, May 2002. DOI: http://dx.doi.org/10.1109/34.1000242   DOI   ScienceOn
2 L, Zhang, Y. Liang "Motion Human Detection Based on Background Subtraction", Education Technology and Computer Science (ETCS), 2010 Second International Workshop on (Volume 1), pp.284-287, 6-7 March 2010
3 G. Osman, M.S. Hitam, M.N. Ismail, "Enhanced Skin Colour Classifier using RGB Ratio Model", International Journal on Soft Computing (IJSC) Vol.3, No.4, November 2012.
4 V.S. Bhat, J.D. Pujari, "Face Detection System using HSV Color Model and Morphing Operations", International Journal of Current Engineering and Technology, ISSN 2277-4106, 2013.
5 J.B. MacQueen, "Some Methods for classification and Analysis of Multivariate Observations, Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability", Berkeley, University of California Press, 1:281-297.
6 Y.J. Park, S.W. Jang, G.Y. Kim, "A Study on Extraction of Skin Region and Lip Using Skin Color of Eye Zone", Journal of the Korea society of computer and information", VOL.14, NO.4, pp.19-30, 2009.   과학기술학회마을
7 K. Sandeep, A.N. Rajagopalan, "Human Face Detection in Cluttered Color Images Using Skin Color, Edge Information", ICVGIP 2002.
8 S.L. Phung, A.Bouzerdoum, D. Chai, "A Novel Skin Color Model in YCbCr Color Space and Its Application to Human Face Detection", Image Processing 2002 International Conference, pp I-289-I-292 vol. 1.
9 J. Stottinger, A. Hanbury, "Skin Paths for Contextual Flagging Adult Video", Proceedings of the 5th International Symposium on Visual Computing (ISVC), Las Vegas, NV, Nov 30 - Dec 2, 2009.
10 C.C. Hsieh, D.H. Liou1, W.R. Lai, "Enhanced Face-Based Adaptive Skin Color Model", Journal of Applied Science and Engineering, Vol. 15, No. 2, pp. 167-176 2012.
11 M. Buvaneswari, T. Aravind, "Virtually Histogram Approach for Efficient Human Skin Detection", International Journal of Futuristic Science Engineering and Technology, Vol 1, Issue 6, June 2013.
12 R. Khan, A. Hanbury, J. Sotttinger, A. Bais, "Color Based Skin classification" DISI, March 2012. DOI: http://dx.doi.org/10.1016/j.patrec.2011.09.032   DOI
13 J. Satake, J. Miura. "Multiple-Person Tracking for a Mobile Robot using Stereo", MVA2009 IAPR Conference on Machine Vision Applications, May 20-22, 2009, Yokohama, JAPAN.
14 T.-W. Kim, "Speed-up of Image Matching Using Feature Strength Information", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 13, No. 6, pp.63-69, 2013.   과학기술학회마을   DOI   ScienceOn
15 A. Jo, J.-S. Park, Y.-H. Seo, G.-J. Jang, "Performance Improvement of Human Detection in Thermal Images using Principal Component Analysis and Blob Clustering", The Journal of The Institute of Internet, Broadcasting and Communication, Vol 13, No 2, pp. 157-163, 2013.   과학기술학회마을   DOI   ScienceOn
16 H.-C. Shin, Y. Shen, S. Khim, W. Sung, M. U. Ahmed, Y.-H. Hong, P.-K. Rhee, "Performance Improvement of Eye Tracking System using Reinforcement Learning", The Journal of The Institute of Internet, Broadcasting and Communication, Vol 13, No 2, pp. 171-179, 2013.   과학기술학회마을   DOI   ScienceOn
17 Y.-S. Im, E.-Y. Kang, J.-P. Park, "Improvement of DCT-based Watermarking Scheme using Quantized Coefficients of Image", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 14, No. 2, pp.17-22, 2014.   과학기술학회마을   DOI   ScienceOn
18 S.-J. Oh, "Design of a Smart Phone App for Measuring Object Size in a Picture Image", The Journal of The Institute of Internet, Broadcasting and Communication, Vol. 13, No. 5, pp.135-142, 2013.   과학기술학회마을   DOI   ScienceOn