M. Betke, E. Haritaoglu and L. S. Davis, “Real-time multiple vehicle detection and tracking from a moving vehicle”, Machine Vision and Applications, December 2000, pp. 69-83.10.1007/s001380050126
H. Tao, H. S. Sawhney and R. Kumar, “Object tracking with Bayesian estimation of dynamic layer representation”, IEEE Trans. PAMI,Vol. 24,No. 1,2002, pp. 75-89.10.1109/34.982885
R. Pless, T. Brodsky and Y. Aloimonos, “Detecting independent motion: The statistics of temporal continuity”, IEEE Trans. PAMI, Vol. 22, No. 8, 2000, pp. 768-773.10.1109/34.868679
G. Sorwar, M. Murshed and L. Dooley, “A Fully Adaptive Distance-dependent Thresholding Search (FADTS) Algorithm for Performance-management Motion Estimation”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 17, No. 4,2007, pp.429-440.10.1109/TCSVT.2006.888816
R. T. Collins, A. J. Lipton and T. Kanada, et.al, “A System for Video Surveillance and Monitoring”,VSAM Final Report, Technical report, CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University, 2000.
Ali Saad and Shah Mubarak,”COCOA-Tracking in Aerial Imagery”, SPIE, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, 2006, pp.110-118, Orlando.10.1117/12.667266
K. Haris, S. N. Efstratiadis, N. Maglaveras and C. Pappas, “Image noise reduction based on local classification and iterated conditional modes”, Proc. IWISP, Manchester, U.K, November 1996.10.1016/B978-044482587-2/50076-8
R. Guo and S. M. Pandit, “Automatic Threshold Selection based on Histogram Modes and a Discriminant Criterion”, Machine Vision and Application, No. 10, 1998, pp. 331-338.10.1007/s001380050083
N. Otsu, “A Threshold Selection Method from Gray-level Histograms”, IEEE Transactions on Systems, Man and Cybernetics, Vol. 9,No. 1,1979, pp. 62-66.10.1109/TSMC.1979.4310076
C. Anderson, P. Burt and W. G. van der, “Change detection and tracking using Pyramid transformation techniques”, Proceedings of SPIE-Intelligent Robots and Computer Vision, Vol. 579,1985, pp.72-78.10.1117/12.950785
A. J. Lipton, H. Fujiyoshi and R. S. Patil, “Moving Target Classification and Tracking from Real-Time Video”, Proc. Fourth IEEE Workshop on Application and Computer Vision, 1998, pp.8-14.
Y. H. Yang and M. D. Levine, “The background Primal sketch: An approach for tracking moving objects”, Machine Vision and Application, No. 5, 1992, pp.17-34.10.1007/BF01213527
J. B. Kim and H. J. Kim, “Efficient region-based motion segmentation for video monitoring system”, Pattern Recognition Letters, Vol. 24, No.1, 2003, pp.113-128.10.1016/S0167-8655(02)00194-0
J. Barron, D. Fleet and S. Beauchemin, “Performance of optical flow techniques”, International Journal of Computer Vision, Vol. 12, No.1, 1994, pp. 42-77.10.1007/BF01420984
A. Smolic and I. R.Ohm, “Robust global motion estimation using a simplified M-estimator approach”, Proceedings of the IEEE International Conference on Image Processing, 2000, pp.868-871.
P. Torr and D. Murray, “The development and comparison of robust methods for estimating the fundamental matrix”, Int. Journal of Computer Vision, Vol. 24, No.3, 1997, pp. 271-300.10.1023/A:1007927408552
Z. Y. Zhang, “Determining the epipolar geometry and its uncertainty: A review”, Int. Journal of Computer Vision, Vol. 27, No.2, 1998, pp. 161-195.10.1023/A:1007941100561
Kim Yeon-Ho and A. C. Kak, “Error Analysis of Robust Optical Flow Estimation by Least Median of Squares Methods for the Varing Illumination Model”, IEEE Trans. PAMI, Vol. 28, No.9, 2006, pp. 1408-1435.10.1109/TPAMI.2006.18516929729