Chen-Chiung Hsieh This email address is being protected from spambots. You need JavaScript enabled to view it.¹, Dung-Hua Liou¹ and Wei-Ru Lai²

¹Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan 104, R.O.C.
²Department of Communications Engineering, Yuan-Ze University, Chung-Li, Taiwan 320, R.O.C.

REFERENCES

1. [1] Jaimes, A. and Sebe, N., “Multimodal Human-Computer Interaction: A Survey,” Computer Vision and Image Understanding, Vol. 108, pp. 116
   134 (2007).
2. [2] Rigas, D. and Alsuraihi, M., “A Toolkit for Multimodal Interface Design: An Empirical Investigation,” Lecture Notes in Computer Science, Vol. 4552, pp. 196
   205 (2007).
3. [3] Wright, J., Yang, A. Y., Ganesh, A., Sastry, S. S. and Yi, M., “Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, pp. 210
   227 (2009).
4. [4] Chang, J. Y. and Chen, J. L., “Automated Facial Expression Recognition System Using Neural Networks,” Journal of the Chinese Institute of Engineers, Vol. 24, pp. 345
   356 (2001).
5. [5] Mitra, S. and Acharya, T., “Gesture Recognition: A Survey,” IEEE Trans. on Systems, Man, and CyberneticsPART C: Applications and Reviews, Vol. 37, pp. 311
   324 (2007).
6. [6] Lu, Z. M., Li, S. Z. and Burkhardt, H., “A ContentBased Image Retrieval Scheme in JPEG Compressed Domain,” International Journal of Innovative Computing, Information and Control, Vol. 2, pp. 831
   839 (2006).
7. [7] Chen, F. S., Fu, C. M. and Huang, C. L., “Hand Gesture Recognition Using a Real-Time Tracking Method and Hidden Markov Models,” Image and Vision Computing, Vol. 21, pp. 745
   758 (2003).
8. [8] Rao, V. S. and Mahanta, C., “Gesture Based Robot Control,” Proc. of the Fourth International Conference on Intelligent Sensing and Information Processing, pp. 145
   148 (2006).
9. [9] Ouchi, K., Esaka, N., Tamura, Y. and Doi, M., “Magic Wand: An Intuitive Gesture Remote Control for Home Appliances,” Proc. of International Conference on Active Media Technology, p. 241 (2005).
10. [10] Xie, W., Teoh, E. K., Venkateswarlu, R. and Chen, X., “Hand as Natural Man-Machine Interface in Smart Environments,” Proc. Signal Processing, Pattern Recognition, and Applications, pp. 117
    122 (2006).
11. [11] Kakumanu, P., Makrogiannis, S. and Bourbakis, N., “A Survey of Skin-Color Modeling and Detection Methods,” Pattern Recognition, Vol. 40, pp. 1106
    1122 (2007).
12. [12] Vezhnevets, V., Sazonov, V. and Andreeva, A., “A Survey on Pixel-Based Skin Color Detection Techniques,” Proc. Graphicon-2003, September, Moscow, Russia, pp. 85
    92 (2003).
13. [13] Soriano, M., Huovinen, S., Martinkauppi, B. and Laaksonen, M., “Using the Skin Locus to Cope with Changing Illumination Conditions in Color-Based Face Tracking,” Proc. of IEEE Nordic Signal Processing Symposium, pp. 383
    386 (2000).
14. [14] Kovac, J., Peer, P. and Solina, F., “Human Skin Color Clustering for Face Detection,” International Conference on Computer as a Tool EUROCON 2003, Vol. 2, pp. 144
    148, Eds. B. Zajc, Ljubljana, Slovenia (2003).
15. [15] Berbar, M. A., Kelash, H. M. and Kandeel, A. A., “Faces and Facial Features Detection in Color Images,” Geometric Modeling and Imaging--New Trends, 16-18 Aug., pp. 209
    214 (1993).
16. [16] Singh, S. K., Chauhan, D. S., Vatsa, M. and Singh, R., “A Robust Skin Color Based Face Detection Algorithm,” Tamkang Journal of Science and Engineering, Vol. 6, pp. 227
    234 (2003).
17. [17] Caetano, T. S., Olabarriaga, S. D. and Barone, D. A. C., “Do Mixture Models in Chromaticity Space Improve Skin Detection?” Pattern Recognition, Vol. 36, pp. 3019
    3021 (2003).
18. [18] Hassanpour, R., Shahbahrami, A. and Wong, S., “Adaptive Gaussian Mixture Model for Skin Color Segmentation,” Proc. of World Academy of Science, Engineering, and Technology, Vol. 31, ISSN 1307- 6884 (2008).
19. [19] Soriano, M., MartinKauppi, J. B., Huovinen, S. and Lääksonen, M., “Adaptive Skin Color Modeling Using the Skin Locus for Selecting Training Pixels,” Pattern Recognition, Vol. 36, pp. 681
    690 (2003).
20. [20] Sigal, L., Sclaroff, S. and Athitsos, V., “Skin ColorBased Video Segmentation under Time-Varying Illumination,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 26, pp. 862
    877 (2004).
21. [21] Wimmer, M. and Radig, B., “Adaptive Skin Color Classificator,” Proc. of the first ICGST International Conference on Graphics, Vision and Image Processing GVIP-05, Cairo, Egypt, Dec. Vol. I, pp. 324
    327 (2005).
22. [22] Viola, P. and Jones, M., “Rapid Object Detection Using a Boosted Cascade of Simple Features,” Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR 2001, Vol. 1, pp. 511
    518 (2001).
23. [23] Liao, W. H. and Chi, Y. H., “Estimation of Skin Color Range Using Achromatic Features,” Proc. of the Eighth International Conference on Intelligent Systems Design and Applications, Vol. 2, pp. 493
    497 (2008).
24. [24] Lienhart, R. and Maydt, J., “An Extended Set of HaarLike Features for Rapid Object Detection,” Proc. of 2002 International Conference on Image Processing, Vol. 1, pp. 900
    903 (2002).