Abstract
This paper presents a new method for face verification for vision applications. There are many approaches to detect and track a face in a sequence of images; however, the high computations of image algorithms, as well as, face detection and head tracking failures under unrestricted environments remain to be a difficult problem. We present a robust algorithm that improves face detection and tracking in video sequences by using geometrical facial information and a recurrent neural network verifier. Two types of neural networks are proposed for face detection verification. A new method, a three-face reference model (TFRM), and its advantages, such as, allowing for a better match for face verification, will be discussed in this paper.
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References
Yang, M.-H., Kriegman, D.J., Ahuja, N.: Detecting Faces in Images: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(1) (January 2002)
Yang, J., Waibel, A.: A real-time face tracker. In: Proc. of WACV 1996, pp. 142–147 (1996)
Birchfield, S.: Elliptical Head Tracking Using Intensity Gradients and Color Histograms. In: Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Santa Barbara, CA, pp. 232–237 (June 1998)
Huang, S.-H., Lai, S.-H.: Detecting Faces from Color Video by Using Paired Wavelet Features. In: Computer Vision and Pattern Recognition Workshop, 27-02, pp. 64–64 (June 2004)
Rodriguez, Y., Cardinaux, F., Bengio, S., Mariethoz, J.: Estimating the quality of face localization for face verification. In: Proceedings of International Conference on Image Processing (ICIP 2004), vol. 1(22-27), pp. 581–584 (October 2004)
Seow, M.-J., Valaparla, D., Asari, V.K.: Neural network based skin color model for face detection. In: 32nd Proceedings of Applied Imagery Pattern Recognition Workshop, 2003, pp. 141–145 (October 2003)
Yang, Q., Ding, X., Chen, Z.: Discriminant local feature analysis of facial images. In: Proceedings of International Conference on Image Processing (ICIP 2003), vol. 2,3, pp. II - 863-866 (September 2003)
Darrell, T., et al.: Integrated person tracking using stereo, color, and pattern detection. In: Conference on Computer Vision and Pattern Recognition, Santa Barbara, CA, pp. 601–608 (June 1998)
Kim, G.M., Lin, D., Kim, J.H., Yoon, S.H.: Robust Head Tracking Based on Hybrid Color Histogram and Random Walk Kalman Filter. In: The Multi-modal Speech Recognition Workshop, Greensboro, NC (June 2002)
Lippman, R.P.: An introduction to computing with neural networks. IEEE ASSP, 4–22 (1987)
Takeda, M., Goodman, J.W.: Neural networks for computation: Number representations and programming complexity. Applied Optics 18(25) (September 15, 1986)
German, S., German, D.: Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-6, 721–741 (1984)
Bilbro, G., Snyder, W.: Applying mean field annealing to image noise removal. Journal of Neural Network Computation, 5–17 (1990)
Van Den Bout, E., Miller III, T.K.: Graph partitioning using annealed neural networks. IEEE Trans. Neural Networks 1, 2192–2203 (1990)
Zhuang, L., Xu, G.-y., Ai, H., Song, G.: Detection and tracking of facial features under a complex background. Human Vision and Electronic Imaging VII, 448–454 (June 2002)
Chang, T.C., Huang, T.S., Novak, C.: Facial feature extraction from color images. In: Proc. the 12th IAPR International Conference on Pattern Recognition, vol. 2, pp. 39–43 (1994)
Kim, G., Kim, J.H., Yoon, S.H., Hur, G.T.: Lip Boundary Detection Techniques Using Color and Depth Information. In: Proceedings of SPIE 2002 International Symposium on Electronic Imaging, San Hose, CA, USA (2002)
Chow, T.Y., Lam, K.M.: Mean-shift based mixture model for face detection in color image. In: Proceedings of International Conference on Image Processing (ICIP 2004), pp. 601–604 (2004)
Starovoitov, V.V., Samal, D.I., Briliuk, D.V.: Three Approaches for Face Recognition. In: The 6th International Conference on Pattern Recognition and Image Analysis, Russia, pp. 707–711 (October 2002)
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Yoon, S.H., Hur, G.T., Kim, J.H. (2006). Recurrent Neural Network Verifier for Face Detection and Tracking. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_53
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DOI: https://doi.org/10.1007/11779568_53
Publisher Name: Springer, Berlin, Heidelberg
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