|| P. Anandan, “A Computational Framework and an Algorithm for the Measurement of Visual Motion”, International Journal of Computer Vision, Vol. 2, pp.283-310, 1989.|
 S. Baker and I. Matthews, “Lucas-Kanade 20 Years On: A Unifying Framework”, International Journal of Computer Vision, Vol. 56, pp. 221-255, 2004.
 J. L. Barron, D. J. Fleet, and S. S. Beauchemin, “Performance of Optical Flow Techniques”, International Journal of Computer Vision, Vol. 12, 1994, pp.43-77.
 F. Bartolini and A. Piva, “Median Based Relaxation of Smoothness Constraints in Optical Flow Computation”, Pattern Recognition Letters, Vol. 18, pp. 649-655, 1997.
 J. R. Bergen, P. Anandan, K. J. Hanna and R. Hingorani, “Hierarchical Model-Based Motion Estimation”, in European Conference on Computer Vision, pp.237-252, 1992.
 J. R. Bergen, P. J. Burt, R. Hingorani, and S. Peleg, “A three-frame algorithm for estimating two-component image motion”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 14, pp. 886-895, 1992.
 M. J. Black, P. Anandan, “The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields”, Computer Vision and Image Understanding, Vol. 63, pp. 75-104, 1996.
 J.Y. Bouguet, “ Pyramidal Implementation of the Lucas Kanade Feature Tracker Description of the algorithm,” Intel Corporation Microprocessor Research Labs, 1999.
 T. Brox, A. Bruhn, N. Papenberg, and J. Weickert, “High Accuracy Optical Flow Estimation Based on a Theory for Warping”, Proceedings of 8th European Conference on Computer Vision, Vol. 4, pp. 25-36, 2004.
 A. Bruhn, J. Weickert, T. Kohlberger, and C. Schnorr, “A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variation Methods”, International Journal of Computer Vision, Vol. 70, pp.257-277, 2006.
 A. Bruhn, J. Weickert and C. Schnörr, “Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods”, International Journal of Computer Vision, Vol. 61, pp. 211-231, 2005.
 R. Brunelli and O. Mich, “Histogram Analysis for Image Retreival”, Pattern Recognition, Vol. 34, pp.1625-1637, 2001.
 J. H. Chen, C. S. Chen and Y. S. Chen, “Fast Algorithm for Robust Template Matching with M-estimators”, IEEE trans. on Signal Processing, Vol. 51, no. 1, pp. 230-243, 2003.
 L. F. Chen, H. Y. Mark Liao, and J. C. Lin, “Person Identification using facial motion”, in Proceedings of IEEE international Conference of Image Proceeding, vol. 2, pp. 7-10, Oct. 2001.
 Y. S. Chen, Y. P. Hung and C. S. Fuh, “Fast Block Matching Algorithm Based on Winner-Update Strategy”, IEEE trans. on Image Processing, Vol. 10, no. 8, pp. p1212-1222, 2001.
 Y. Cho and J. Rice, “Estimating Velocity Fields on a Freeway from Low Resolution Video”, IEEE Transaction on Intelligent Transportation Systems, 2005.
 R. O. Duda, P. E. Hart and D. G. Stork, Pattern Classification, Wiley-Interscience, Second Edition, 2001.
 A. Elgammal, D. Harwood, L. S. Davis, “Non-parametric Model for Background Subtraction” IEEE 7th ICCV, Kerkyra, Greece, September, 1999.
 A. Giachetti, M. Campani and V. Torre, “The Use of Optical Flow for Road Navigation”, IEEE trans. on Robotics and Automation, Vol. 14, pp.34-48
 R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison-Wesley, 2002.
 J. Hafner, H. S. Sawhney, W. Equitz, M. Flickner, and W. Niblack, “Efficient color histogram indexing for quadratic form distance functions”, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 17, pp.729–736, July 1995.
 R. M. Haralick and L. G. Shapiro, Computer and Robot Vision (Vol. I,II), Prentice Hall, 1992.
 X. He and N. Yung, “A Novel Algorithm for Estimating Vehicle Speed from Two Consecutive Images”, IEEE Workshop on Applications of Computer Vision, 2007.
 T. Hirayama, K. F. Lew, Y. Iwai and M. Yachida, “Face Detection and Facial Personation Prevention by Using Infrared Images”, SICE Annual Conference in Sapporo, Japan, Aug. 2004.
 B. K. P. Horn, Robot Vision, MIT Press, 1986.
 B. K. P. Horn, and B. G. Schunck, “Determining Optical Flow”, Artificial Intelligence, Vol. 17, pp.185-203, 1981.
 T. Horprasert, D. Harwood, L. S. Davis, “A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection”. Proc. IEEE ICCV FRAME-RATE Workshop, Kerkyra, Greece, pp.1-19, 1999.
 M. Irani, “Multi-frame Correspondence Estimation Using Subspace Constraints”, International Journal of Computer Vision, Vol. 48, pp.173-194, 2002.
 M. Irani, B. Rousso and S. Peleg, “Computing Occluding and Transparent Motions”, International Journal of Computer Vision, Vol. 12, pp.5-16, 1994.
 A. K. Jain, and A. Vailaya, “Image retrieval using color and shape”, Pattern Recognition, Vol. 29, No. 8, pp.1233-1244, 1996.
 F. D. Jou, K. C. Fan and Y. L. Chang, “Efficient matching of large-size histograms”, Pattern Recognition Letters, vol. 25, issue: 3, pp. 277-286, 2004.
 P. Kruizina and N. Petkov, “Optical flow applied to person identification”, in Proceedings of the EUROSIM Conference on Massively Parallel Processing Applications and Development, pp. 871-878, Netherlands, June 1994.
 S.H. Lai and B.C. Vemuri, “Robust and efficient computation of optical flow”, International Journal of Computer Vision, Vol. 29, pp. 87-105, 1998.
 Y. P. Li, J. Kittler, and J. Matas, “On matching scores of LDA-based face verification.” In M. Mirmehdi and B. Thomas, editors, Proc British Machine Vision Conference BMVC2000, vol. 1, pp. 42-51, London, UK, September 2000. University of Bristol, British Machine Vision Association.
 X. Liu, T. Chen, and B. V. K.V. Kumar, “On modeling variations for face authentication”, in Proceedings of Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 369-374, May 2002.
 J. Luetin and G. Maitre, “Evaluation Protocol for the extended M2VTS Database(XM2VTSDB),” IDIAP-COM 05, IDIAP, 1998.
 B. D. Lucas and T. Kanade, “An iterative image registration technique with an application to stereo vision”, Image Understanding Workshop, 1981, pp.121-130.
 W. N. Martin and Jagdishkumar Keshoram Aggarwal, Motion Unserstanding: Robot and Human Vision, Springer, 1988.
 J. Matas, M. Hamouz, K. Jonsson, J. Kittler, Y. Li, C. Kotropoulos, A. Tefas, I. Pitas, Teewoon Tan, Hong Yan, F. Smeraldi, J. Bigun, N. Capdevielle, W. Gerstner, S. Ben-Yacoub, Y. Abdeljaoued, E. Mayoraz, “Comparison of face verification results on the XM2VTS database”, in Proceedings of 15th International Conference on Pattern Recognition, pp.858-863, 2000.
 B. McCane and K. Novins, “On Benchmarking Optical Flow”, Computer Vision and Image Understanding, Vol. 84, pp.126-143, 2001.
 K.Messer, J.Matas, J. Kittler, J. Luettin and G. Maitre, “XM2VTSBD: The Extended M2VTS database”, International Conference on Audio- and Video-based Biometric Authentication (AVBPA 99), Washington D.C., 1999.
 B. M. Mehtre, M. S. Kankanhalli, A. D. Narasimhalu, and G. C. Man, “Color matching for image retrieval” Pattern Recognition Letters, Vol. 16, pp.325-331, 1995.
 B. Noble and J. W. Daniel, Applied Linear Algebra, Prentice Hall, 1998.
 N. Papenberg, A. Bruhn, T. Brox, S. Didas, and J. Weickert, “Highly Accurate Optic Flow Computation with Theoretically Justified Warping” International Journal of Computer Vision. Vol. 67, pp. 141-158, 2006.
 G. Pass and R. Zabih, “Histogram Refinement for Content-Based Image Retreival”, Applications of Computer Vision, pp.96-102, 1996.
 P. J. Phillips, H. Moon, P. Rauss, and S.A. Rizvi, “The FERET Evaluation Methodology for Face-Recognition Algorithm”, in Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, pp.137-143, 1997.
 P.J. Phillips, H. Moon, S. Rizvi, and P. Rauss, “The FERET Evaluation Methodology for Face-Recognition Algorithm”, IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 22, pp.1090-1104, 2000.
 P.J. Phillips, H. Moon, S. Rizvi, and P. Rauss, “The FERET Testing Protocol,” in Face Recognition” From Theory to Application (H. Wechsler, P.J. Phillips, V. Bruce, F.F. Soulie and T.S. Huang, eds.), Berlin: Springer-Verlag, pp.244-261, 1998.
 P. J. Phillips, P. Rauss, and S. Der, “FERET (Face Recognition Technology) Recognition Algorithm Development and Test Report”, Technical Report ARL-TR 995, U.S. Army Research Laboratary.
 S. A. Rizvi, P. J. Phillips, and H. Moon, “A verification Protocol and Statistical Performance Analysis for Face Recognition Algorithms”, in Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, pp.833-838, 1998.
 T. N. Schoepflin, D. J. Dailey, “Dynamic Camera Calibration of Roadside Management Cameras for Vehicle Speed Estimation”, IEEE Transactions on Intelligent Transportation Systems, 2003.
 H. Shariat and K. E. Price, “Motion Estimation with More than Two Frames”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No.5, pp.417-434, 1990.
 C. Stauffer and W. E. L. Grimson, “Adaptive background mixture models for real-time tracking”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.246-252, 1999.
 G. P. Stein and A. Shashua, “Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.400-406, 1997.
 T. Suzuki and T. Kanade, “Measurement of Vehicle Motion and Orientation using Optical Flow”, Proceedings of IEEE Conference on Intelligent Transportation Systems, Tokyo, Japan, Oct, 25-30, 1999.
 J. T. Tou and R. C. Gonzalez, Pattern Recognition Principles, Addison-Wesley, 1974.
 A. M. Tourapis, “Enhanced Predictive Zonal Search for Single and Multiple Frame Motion Estimation”, Proceedings of Visual Communications and Image Processing (VCIP), pp.1069-1079, 2002.
 T, Tsuda, K. Yamamoto, K. Kato, “A Proposal of the Distinguish Technique between a Real Person and a Photograph”, 6th Asian Conference Computer Vision, vol. 1, pp.539-544, 2004.
 M. Turk and A. Pentland, “Eigenfaces for Recognition”, Journal of Cognitive Neuroscience, vol. 3, pp.71–96, 1991.
 A. Verri and T. Poggio, “Motion Field and Optical Flow: Qualitative Properties”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, 1989, pp.490-498.
 C. R. Wern, A. Azarbayejani, T. Darrell, and A. P. Pentland, “Pfinder: Real-time tracking of human body”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 19, pp.780-785, 1997.
 W. Zhao, R. Chellappa, and A. Krishnaswamy, “Discriminant Analysis of Principal Components for Face Recognition”, in Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, pp.336-341, 1998.