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Real Time Face Detection with Skin and Feature Based Approach and Reorganization using Genetic Algorithm

Tanvi Chauhan, Vineet Richhariya

Abstract


Face recognition in video has gained wide attention as a covert method for surveillance to enhance security in variety of application domains (e.g., airports, traffic, Terrorist attack).A video contains temporal information as well as multiple instances of a face, so it is expected to lead to better face recognition performance compared to still face images. However, faces appearing in a video have substantial variations in pose and lighting. We propose a face recognition system that identifies faces in video. The system utilizes the rich information in video. The description of the proposed method and preliminary results are provided.

Keywords


Face Detection, Image Enhancement, Skin Color Detection, Feature Extraction, Pattern Recognization, Luminance, Color Transform.

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References


K. Sandeep, A.N. Rajagopalan,‖Human Face Detection in Cluttered Color Images Using Skin Color and Edge Information‖, ICVGIP Proceeding, 2002.

H. Deng, L. Jin, L. Zhen, and J. Huang. A new facial expression recognition method based on local gabor filter bank and pca plus lda. International Journal of Information Technology, 11(11):86-96,2005.

L. Shen and L. Bai. Information theory for gabor feature selection for face recognition. Hindawi Publishing Corporation, EURASIP Journal on Applied Signal Processing, Article ID 30274, 2006.

J Essam Al Daoud, ‖Enhancement of the Face Recognition Using a Modified Fourier-Gabor Filter‖,Int. J. Advance. Soft Comput. Appl., Vol. 1, No. 2, 2009.

Z. Y. Mei, Z. Ming, and G. YuCong. Face recognition based on low dimensional Gabor feature using direct fractional-step lda. In Proceedings of the Computer Graphics, Image and Vision: New Treds (CGIV'05), IEEE Computer Society, 2005.

B. Schiele, J. Crowley,‖Recognition without correspondence using multidimensional receptive field Histograms‖, International Journal on Computer Vision.36:3152, 2000.

Christopher M Bishop, ―Neural Networks for Pattern Recognition‖ London, U.K.: Oxford University Press, 1995.

H. Martin Hunke, Locating and tracking of human faces with neural network, Master’s thesis, University of Karlsruhe, 1994.

Henry A. Rowley, Shumeet Baluja, and Takeo Kanade. ―Neural network based face detection,‖IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(I), pp.23-38, 1998.

B. Schiele and J. Crowley. ―Recognition without correspondence using multidimensional receptive field histograms‖. International Journal on Computer Vision, 36:3152, 2000.

K Messer, J Matas, J Kittler, J Luettin, and Gmaitre, ‖ Xm2vtsdb: The extended m2vts database‖, In Second International Conference of Audio and Video-based Biometric Person Authentication, March 1999.

L. Sirovich, M. Kirby, Low-dimensional procedure for the characterization of human faces, J. Opt. Soc. Am. A 4 (3) (1987) 519}524.

M. Turk, A. Pentland, Eigenfaces for recognition, J. Cogni-tive Neurosci. 3 (1) (1991) 71}86.

N. Intrator, D. Reisfeld, Y. Yeshurun, Face recognition using a hybrid supervised/unsupervised neural network, Pattern Recognition Lett. 17 (1996) 67}76.

B. Moghaddam, A. Pentland, Face recognition using view-based and modular eigenspaces, SPIE: Automat.Systems Ident. Inspect. Humans 2277 (1994).

R. Brunelli, T. Poggio, Face recognition: features versus template, IEEE PAMI 15 (10) (1993) 1042}1052.

R. Chellappa, C. L. Wilson, S. Sirohey, ―Human and machine recognition of faces: a survey‖, Proceedings of the IEEE, Volume 83, No. 5, pp. 705-740, May 1995.

J. Zhang, Y. Yan, M. Lades, ―Face recognition: eigenface, elastic matching, and neural nets‖, Proceedings of the IEEE, Vol. 85, No. 9, pp. 1423-1435, September 1997.

ISO/IEC JTC1/SC29/WG11. ―Overview of the MPEG-7 Standard‖, Doc. ISO/MPEG N4031, March 2001, Singapore.

A. Albiol, L. Torres, C.A. Bouman and E. J. Delp, ―A simple and efficient face detection algorithm for video database applications‖, Proceedings of the IEEE International Conference on Image Processing,Vancouver, Canada, vol. 2, pp. 239-242, September 2000.

L. Torres, L. Lorente and J. Vilà, ―Face recognition using self-eigenfaces,‖ Proceedings of the International Syposium on Image/Video Communications Over Fixed and Mobile Networks, Rabat, Morocco, pp. 44-47, April 2000.

A. Albiol, L. Torres, E. Delp, ―An unsupervised color image segmentation algorithm for face detection applications‖, IEEE International Conference on Image Processing, Thessaloniki, Greece, October 7-10, 2001.

M. A. Turk, A. P. Pentland, ―Face recognition using eigenfaces‖, Proceedings of the IEEE Computer Society Conf. on Computer Vision and Patter Recognition, pp. 586-591, Maui, Hawaii 1991.


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