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Face Detection in Color Images Based on Explicitly-Defined Skin Color Model

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Advances in Computing, Communication, and Control (ICAC3 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 361))

Abstract

Detecting human faces in color images plays an important role in real life application such as face recognition, human computer interface, video surveillance and face image database management. This paper proposes four new methods for human skin segmentation and one facial feature detection using normalized RGB color space. The linear piecewise decision boundary strategy is used for human skin detection techniques. Both adaptive and non-adaptive skin color models are used for skin detection. The rule based technique is used to detect facial features like lips and eye. These techniques are very effective in detecting facial features. The experimental results show that both the non-adaptive and adaptive skin color models produce better results as compared to other skin detection techniques proposed.

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References

  1. Soriano, M., Huovinen, S., Martinkauppi, B., Laaksonen, M.: Using the Skin Locus to Cope with Changing Illumination Conditions in Color-Based Face Tracking. In: Proceedings by IEEE Nordiac Signal Processing Symposium (NORSIG 2000), Kolmarden, Sweden, pp. 383–386 (2000)

    Google Scholar 

  2. Caetano, T.S., Barone, D.A.C.: A probabilistic Model for the Human Skin Color. In: Proceedings of the 11th International Conference on Image Analysis and Processing, ICIAP 2001 (2001)

    Google Scholar 

  3. Caetano, T.S., Olabarriaga, S.D., Barone, D.A.C.: Performance Evaluation of Single and Multiple-Gaussian Models for Skin Color Modeling. In: Proceedings of the XV Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2002). IEEE (2002)

    Google Scholar 

  4. Jayaram, S., Schmugge, S., Shin, M.C., Tsap, L.V.: Effect of Color Space Transformation, the Illuminance Component, and Color Modeling on Skin Detection. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004 (2004)

    Google Scholar 

  5. Hota, R.N., Venkoparao, V., Bedros, S.: Face Detection by using Skin Color Model based on One Class Classifier. In: 9th International Conference on Information Technology, ICIT 2006 (2006)

    Google Scholar 

  6. Liu, R., Zhang, M., Ma, S.: Design of Face Detection and Tracking System. In: 3rd International Congress on Image and Signal Processing (CISP 2010), pp. 1840–1844 (2010)

    Google Scholar 

  7. Jones, M.J., Rehg, J.M.: Statistical Color Models with Application to Skin Detection. Proceeding of IEEE, 1–7 (1999)

    Google Scholar 

  8. Brand, J., Mason, J.S.: A Comparative Assessment of Three Approaches to Pixel-level Human Skin-Detection. Proceedings by IEEE, 1056–1059 (2000)

    Google Scholar 

  9. Pujol, A., Lumbreras, F., Varona, X., Villanueva, J.J.: Locating People in Indoor Scenes for Real Applications. Proceedings of IEEE, 632–635 (2000)

    Google Scholar 

  10. Soriano, M., Martinkauppi, B., Huovinen, S., Laaksonen, M.: Skin Detection in Video under Changing Illumination Conditions. Proceedings of IEEE, 839–842 (2000)

    Google Scholar 

  11. Kumar, P., Sengupta, K., Lee, A.: A Comparative Studies of Different Color Spaces for Foreground and Shadow Detection for Traffic Monitoring System. Proceedings by IEEE, 100–105 (2002)

    Google Scholar 

  12. Chen, L., Zhou, J., Liu, Z., Chen, W., Xiong, G.: A Skin Detector Based on Neural Network. Proceedings of IEEE, 615–619 (2002)

    Google Scholar 

  13. Gomez, G.: On Selecting Colour Components for Skin Detection. Proceedings of IEEE, 961–964 (2002)

    Google Scholar 

  14. Boussaid, F., Chai, D., Bouzerdoum, A.: A Current-Mode VLSI Architecture for Skin Detection. Proceeding by IEEE, 629–632 (2003)

    Google Scholar 

  15. Jedynak, B., Zheng, H., Daoudi, M.: Statistical Models for Skin Detection. In: Proceedings of the 2003 Conference on Computer Vision and Pattern Recognition Workshop (2003)

    Google Scholar 

  16. Bayoumi, F., Fouad, M., Shaheen, S.: Based Skin Human Detection in Natural and Complex Scenes. Proceedings by IEEE, 568–571 (2004)

    Google Scholar 

  17. Ravindra Babu, T., Mahalakshmi, K., Subrahmanya, S.V.: Optimal Skin Detection for Face Localization using Genetic Algorithms. Procedings of IEEE (2011)

    Google Scholar 

  18. Hsieh, C.-C., Liou, D.-H., Lai, W.-R.: Enhanced face-Based Adaptive Skin Color Model. Journal of Applied Science and Engineering 15(2), 167–176 (2012)

    Google Scholar 

  19. Zarit, B.D., Super, B.J., Quek, F.K.H.: Comparison of Five Color Models in Skin Pixel Classification

    Google Scholar 

  20. Vezhnevets, V., Sazonov, V., Andreeva, A.: A Survey on Pixel-Based Skin Color Detection Techniques

    Google Scholar 

  21. Mostafa, L., Abdelazeem, S.: Face Detection Based on Skin Color Using Neural Networks. In: GVIP 2005 Conference, December 19-21. CICC, Cairo (2005)

    Google Scholar 

  22. Bayoumi, F., Fouad, M., Shaheen, S.: Feature-Based Human Face Detection. In: 21st National Radio Science Conference (NRSC 2004) (NTI), March 16-18 (2004)

    Google Scholar 

  23. Boussaid, F., Chai, D., Bouzerdoum, A.: On-Chip Skin Detection for Color CMOS Imagers. In: Proceedings of the International Conference on MEMS, NANO and Smart Systems (2003)

    Google Scholar 

  24. Terrillon, J.-C., Akamatsu, S.: Comparative Performance of Different Chrominance Spaces for Color Segmentation and Detection of Human Faces in Complex Scene Images. In: Vision Interface 1999, Trois-Rivières, Canada May 19-21 (1999)

    Google Scholar 

  25. Sigal, L., Sclaroff, S., Athitsos, V.: Skin Color-Based Video Segmentation under Time-Varying Illumination. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(7) (July 2004)

    Google Scholar 

  26. Phung, S.L., Bouzerdoum, A., Chai, D.: Skin Segmentation Using Color Pixel Classification: Analysis and Comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(1) (January 2005)

    Google Scholar 

  27. Zhao, X., Boussaid, F., Bermak, A.: Characterization of a 0.18 μm CMOS Color Processing Scheme for Skin Detection. IEEE Sensors Journal 7(11), 1471–1474 (2007)

    Article  Google Scholar 

  28. Yogarajah, P., Condell, J., Curran, K., Kevitt, P.M., Cheddad, A.: A Dynamic threshold approach for Skin Segmentation in Color Images. Int. J. of Biometrics (2010)

    Google Scholar 

  29. Vezhnevets, V., Andreeva, A.: A Comparative Assessment of Pixel-based Skin Detection Methods. GML Computer Vision Group (2005)

    Google Scholar 

  30. Extended M2VTS database, www.ee.surrey.ac.uk/CVSSP/xm2vtsdb/

  31. Caltech Face Database, http://www.vision.caltech.edu/html-files/archive

  32. Indian Face Database, http://vis-www.cs.unmass.edu/~vidit/IndianFaceDatabase/

  33. Postech Faces 2001, http://dblp.uni-trier.de/db/conf/fgr/fg2008

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Authors and Affiliations

  1. Department of Computer Science, School of Engineering and Technology, Pondicherry University, Puducherry, India

    Ravi Subban & Richa Mishra

Authors
  1. Ravi Subban
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  2. Richa Mishra
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Editor information

Editors and Affiliations

  1. Fr. Conceicao Rodrigues College of Engineering, Bandstand, Bandra (W), 400 050, Mumbai, Maharashtra, India

    Srija Unnikrishnan

  2. Fr. Conceicao Rodrigues College of Engineering, Bandstand, Bandra (W), 400 050, Mumbai, India

    Sunil Surve

  3. Dept. of Electronics Engineering, Fr. Conceicao Rodrigues College of Engineering, Bandstand, Bandra (West), 400 050, Mumbai, India

    Deepak Bhoir

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Subban, R., Mishra, R. (2013). Face Detection in Color Images Based on Explicitly-Defined Skin Color Model. In: Unnikrishnan, S., Surve, S., Bhoir, D. (eds) Advances in Computing, Communication, and Control. ICAC3 2013. Communications in Computer and Information Science, vol 361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36321-4_54

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  • DOI: https://doi.org/10.1007/978-3-642-36321-4_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36320-7

  • Online ISBN: 978-3-642-36321-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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