Abstract：In this paper, the current situation and trends of optical flow field estimation using color images are presented in overview. Some methods are described in this paper and described some problems in optical flow field estimation using color images are proposed also.
 吴立德.计算机视觉.复旦大学出版社,1993.  马颂德等.计算机视觉-计算理论与算法基础.科学出版社,1998.  B Horn, B Schunch. Determining optical flow. Artificial Intelligence, 1981,17:185-203.  B Horn. Robot Vision. MIT Press, 1986.  H H Nagel. Constrains for the estimation of displacement vector fields from image sequences. In Proceeding IJCAI'-83,Karlsruhe, Germany, 1983:945-951.  O Tretiak, L Pastor. Velocity estimation from image sequences with second order differentical opertors. In Proceedings Internation Conference on Pattern Recognition, Montreal,Canada,1984, 16-19.  E Hildreth. The Measurement of Visual Motion. MIT Press,1984.  D Terzopoulos. Regularization of inverse visual problems involving discontinuties. IEEE Trans PAMI, 1986,8:413-424.  P Golland, A M Bruckstein. Motion from color. CVIU:Computer Vision and Image Understanding, 1997,68(3) 346 -362.  P Golland, A M Bruckstein. Why RGB? Or How to Design Color Displays for Martians. GMIP:Graphical Models and Image Processing, 1996,58(5):405-412.  N Ohta. Optical flow detection by color image. NEC Research and Development, 1990,97:78-84.  N Ohta. Uncertainty models of the gradient constraint for optical flow computation. IEICE Transactions on Information and Systems(D), 1996,E79-D(7):958-964.  M Otte, H H Nagel. Estimation of optical flow based on higherorder spatiotemporal derivatives in interlaced and non-interlaced image sequences. Artificial Intelligence, 1995,78(1/2):5-43.  S Shafer. Using color to separate reflection components. Color:Research and Application, 1985,10(4):210-218.  B Horn. Exact reproduction of colored image, Computer Vision. Graphics, and Image Processing, 1984,26:135-167.  G Finlayson, B Funt, K Barnard. Color constancy under varying illumination. In Proceedings of The 5th International Conference on Computer Vision, Cambridge, 1995, MA, 720-725.  P Golland. Using of color for optical flow estimation. The master degree thesis of Israel Institute of Technology, 1995.  B A Wandell. The synthesis and analysis of color images. IEEE Trans On Pattern Analysis and Machine Intelligence, 1987,PAMI-9(1):2-13.  傅洁等. 计算机视觉中运动分析的连续处理方法综述. 模式识别与人工智能, 1991,4(1).  K Wohn, L S Divis, P Thrift. Motion estimation based on multiple local constraints and nonlinear smoothing. Pattern Recognition, 1983,16(6):563-570.  A Verri, T Poggio. Against quantitative optical flow. In Proceeding of First International Conference on Computer Vision,London, 1987,171-180.  W B Thompson, K M Mutch, V A Berzins. Dynamic occlusion analysis in optical flow fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1985:374-383.  D J Fleet, M J Black, Y Yacoob, A D Jepson. Design and use of linear models for image motion analysis. International Journal of Computer Vision,2000,36(3):171-193.  A Spoerri, S Ullamn. The early detection of motion Boundaries.In Proc IEEE International Conference on Computer Vision,London, 1987,209-218.  S A Niyogi. Detection kinetic occlusion. In Proc. IEEE International Conference on Computer Vision, Boston, MA, 1995,1044-1049.  A Verri et al. Motion field and optical flow:Qualitative properties,IEEE Trans Pattern Analysis and Machine Intelligence, 1989,11