|
[1]P. Kakumanu , S. Makrogiannis, and N. Bourbakis, “A survey of skin-color modeling and detection methods”, Pattern Recognition, Vol. 40, pp. 1106-1122, (2007). [2]V. Vezhnevets, V. Sazonov, and Alla Andreev, “A survey on pixel-based skin color detection techniques”, International Conference Graphicon, pp. 85-92,(2003). [3]D. Chai, K.N. Ngan,” Face segmentation using skin colour map in videophone applications”, IEEE Transactions on Circuits and Systems for Video Technology 9 (4) (1999) 551-564. [4]Y. Wang, B. Yuan, “A novel approach for human face detection from color images under complex background”, Pattern Recognition 34 (10) (2001) 1983-1992. [5]J. Kovac, P. Peer, F. Solina, “2D Versus 3D Colour Space Face Detection”, in: 4th EURASIP Conference on Video/Image Processing and Multimedia Communications, Croatia, (2003), pp. 449-454. [6]Giovani Gomez and Eduardo F. Morales. “Automatic feature construction and a simple rule induction algorithm for skin detection”. In ICML, pages 31-38, (2002). [7]G. Kukharev, A. Nowosielski, “Visitor Identification-Elaborating Real Time Face Recognition System”pp 157-164, Feb (2004). [8]B. C. Ennehar, O. Brahim, and T. Hicham, “An Appropriate Color Space to Improve Human Skin Detection“, Journal of Computer Science. [9]J. Kennedy, R. Eberhart, “Particle swarm optimization”, IEEE, November (1995). [10]K. Veeramachaneni, T. Peram, C. Mohan, L. A. Osadciw, “Optimization using particle swarms with near neighbor interactions”, Proceedings of the GECCO, Vol. 2723, pp. 110-121, (2003). [11]B. Liu, L. Wang, Y. H. Jin, F. Tang, D. X. Huang, “Improved particleswarm optimization combined with chaos”, Chaos, Solitons andFractals, Vol. 25, No. 5,September (2005). [12]Y. Dong, J. Tang, B. Xu, D. Wang, “An application of swarm optimization to nonlinear programming”, Computers andMathematics with Applications, No. 49, February (2005). [13]A. Leontitsis, D. Kontogiorgos, J. Pagge, “Repel the swarm to the optimum!”, Applied Mathematics and Computation, Vol. 173, No. 1,February (2006). [14]J. Moore and R. Chapman. Application of particle swarm to multi objective optimization, Department of Computer Science and Software Engineering, Auburn University,(1999). [15]Pan Q-K, Tasgetiren MF, Liang Y-C. A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem. ComputOper Res (2008). [16]Esmin, A.A.A., A.R. Aoki, G. Lambert-Torres, “Particle Swarm Optimization for Fuzzy Membership Functions Optimization,” IEEE International Conference, Vol. 3, (2002). [17]J Salerno, “Using the particle swarm optimization technique to train a recurrent neural model,” In Proceedings of the Ninth IEEE International Conference on Tools with Artificial Intelligence, pp. 45-49, (1997). [18]T. Sousa, A. Silva, and A. Neves, “Particle swarm based data mining algorithms for classification tasks,” ELSEVIER on Parallel Computing, NO.30, pp.767-783. [19]Ayed Salman, Imtiaz Ahmad, and Sabah Al-Madani, “Particle swarm optimization for task assignment problem,” Microprocessors and Microsystems 26, pp. 363-371, (2002). [20] Shi Y, Eberhart RC. A modified particle swarm optimizer . In: Proceedings of the IEEE international conference on evolutionary computation; (1998). [21]Angeline PJ. Evolutionary optimization versus particle swarm optimization: philosophy and performance difference. In: Proceeding of the evolutionary programming conference; (1998). [22]Eberhart RC, Shi Y. Particle swarm optimization: developments, Applications and resources. In: Proceedings of the IEEE congress on evolutionary computation; (2001), pp. 81-86. [23]許志義,”多目標決策”。 五南圖書出版社(2003) [24]Tomaschitz, J.A., Facon, J., “Skin detection applied to multi-racial Images”, IWSSIP 16th International Conference on Systems, Signalsand Image Processing, pp. 1 - 3, (2009). [25]VladimirVezhnevets, VassiliSazonov, AllaAndreeva, “A Survey On Pixel-Based Skin Color Detection Techniques,” International Conference Graphicon,pp. 85-92, (2003). [26]J.J. de Dios, N. Garcia, "Face detection based on a new color space YCgCr." Image Processing, (2003). ICIP (2003). Proceedings. (2003) International Conference on. Vol. 3. IEEE, (2003). [27]G. Gomez, M. Sanchez, L.E. Sucar, “On selecting an appropriate colour space for skin detection”, Springer-Verlag: Lecture Notes in Artificial Intelligence, vol. 2313, (2002), pp. 70-79. [28]J. Brand, J. Mason, “A comparative assessment of three approaches to pixel level human skin-detection”, ICPR01 1 (2000), pp. 1056-1059. [29]Jose M. Chaves-Gonzalez, M. A. Vega-Rodriguez, J. A. Gomez-Pulido, and J. M. Sanchez-Perez, “Detecting skin in face recognition systems: A colour spaces study”, Digital Signal Processing,Vol. 20, pp. 806-823, (2010). [30]K. Sobottka, I. Pitas, “A novel method for automatic face segmentation, facial feature extraction and tracking, Signal Process”. Image Commun. 12 (1998), pp. 263-281. [31]K. Sobottka, I. Pitas, “Extraction of facial regions and features using color and shape information”, ICPR96, (1996). [32]Y. Dai, Y. Nakano, “Face-texture model based on SGLD and its application in face detection in a color scene”, Pattern Recognition 29 (6) (1996), pp. 1007-1017. [33]M.J. Jones, J.M. Rehg, “Statistical color models with application to skin detection”, CVPR99, (1999) [34] M.H. Yang, N. Ahuja, “Gaussian Mixture model for human skin color and its application in image and video databases”, Proceedings of SPIE: Conference on Storage and Retrieval for Image and Video Databases, vol. 3656, (1999), pp. 458–466. [35]S. Phung, A. Bouzerdoum, D. Chai, “A novel skin color model inYCbCr color space and its application to human face detection”, 2002 International Conference on Image Processing, Vol 1, pp. I-289 -I-292, (2002). [36]Y. Zou, W. Chen and J. Zhang, “Edge map guided stereomatching in HSL color space for mobile robot navigation”, ROBIO, pp. 841-846. IEEE, (2011). [37]Albayrak, Songul, “Color Quantization by Modified K-Means Algorithm”, Journal of Applied Science, Vol 1, Issue 4, pp. 508-511, (2001). [38]B.C. Ennehar, O. Brahim, and T. Hichan, “An Appropriate Color Space to Improve Human Skin Detection”, Journal of Computer Science, Vol 9, pp.18-27, (2011). [39]Nabiyev, Vasif, and Asuman Gunay. "Towards a biometric purpose image filter according to skin detection." The Second International Conference “Problems of Cybernetics and Informatics” September. (2008), pp. 10-12. [40]J.L. Crowley, “Vision for man-machine interaction”. Robotics and Autonomous Systems, 19(3), pp.347-358, (1997). [41]Al Haj, Murad, et al. "Automatic face and facial features initialization for robust and accurate tracking." Pattern Recognition, (2008). ICPR (2008). 19th International Conference on. IEEE, (2008). [42]Chiunhsiun Lin, "Face detection by color and multilayer feedforward neural network." Information Acquisition, (2005) IEEE International Conference on. IEEE, (2005). [43]R.C. Chang, F.C. Tseng, "Automatic detection and correction for glossy reflections in digital photograph." Ubi-media Computing (U-Media), 2010 3rd IEEE International Conference on. IEEE, 2010. [44] Mohamed A. Berbar, Hamdy M. Kelash, and Amany A. Kandeel. "Faces and facial features detection in color images." Geometric Modeling and Imaging--New Trends, (2006). IEEE, 1993. [45]P.S. Hiremath and AJIT Danti, "Detection of multiple faces in an image using skin color information and lines-of-separability face model." International Journal of Pattern Recognition and Artificial Intelligence 20.01 (2006): 39-61. [46]V. Girondel, L. Bonnaud, Alice Caplier, "Hands detection and tracking for interactive multimedia applications." Proceedings of the International Conference on Computer Vision and Graphics-ICCVG. (2002). [47]J. Ma, R. Xiao, K.H.B. Ghazali, "Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection." situations 4 (2012): 5. [48]Zhengzhen, Zhang, and Shi Yuexiang. "Skin color detecting unite YCgCb color space with YCgCr color space." Image Analysis and Signal Processing, (2009). IASP (2009). International Conference on. IEEE, (2009). [49]J.J. de Dios, N. Garcia, "Feature extraction used for face localization based on skin color." Image Analysis and Recognition. Springer Berlin Heidelberg, (2005). 1032-1039. [50]C.H. Yang, X.S. Qian, and W.H. Gui. "Hybrid algorithm of chaotic differential evolution and particle swarm optimization." Jisuanji Yingyong Yanjiu 28.2 (2011): 439-441.
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