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Volume 23 Issue 12
Dec.  2001
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Yang Yong, Wang Qiao, Wu Lenan . TWO-DIMENSION MOTION ESTIMATION BASED ON LABELING FIELD AND OPTICAL FLOW FIELD[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1321-1325.
Citation: Yang Yong, Wang Qiao, Wu Lenan . TWO-DIMENSION MOTION ESTIMATION BASED ON LABELING FIELD AND OPTICAL FLOW FIELD[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1321-1325.

TWO-DIMENSION MOTION ESTIMATION BASED ON LABELING FIELD AND OPTICAL FLOW FIELD

  • Received Date: 2000-06-27
  • Rev Recd Date: 2000-10-25
  • Publish Date: 2001-12-19
  • In this paper, an improved algorithm combining optical flow field with labeling field is presented for estimating the two-dimension motion. Based on the basic constraint and the global smooth constraint, a labeling field is introduced, by which Horn-Schunck algorithm is modified. This method not only fastens the convergence of the algorithm, but also improves the accuracy and weakens the effect of the occluding boundary on the motion estimation. The experimental results show that it is a suitable method.
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  • 高文,陈熙霖,计算机视觉-算法与系统原理,北京,清华大学出版社与广西科学技术出版社,1999,119 208[2]吴立德,计算机视觉,上海,复旦大学出版社,1993,83-100.[3]B.K.P. Horn, B. G. Schunck, Determining optical flow, Artificial Intelligence, 1981, 17(1-3),185-203.[4]D. Terzopoulos, Regularization of inverse visual problems involving discontinuities, IEEE Trans.on PAMI, 1986, PAMI-8(4), 413-424.[5]H.H. Nagel, On the estimation of optical flow: Relation between different approaches and some new results, Artificial Intelligence, 1987, 33(3), 299-324.[6]H.H. Nagel, W. Enkelmann, An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences, IEEE Trans. on PAMI, 1986, PAMI-8(5), 565-593.[7]S.V. Fogel, Estimation of velocity vector fields from time-varying image sequences, CVGIP:Image Understanding, 1991, 53(3), 253-287.[8]A. Murat Tekalp, Digital Video Processing, Englewood Cliffs, NJ, Prentice Hall PTR, 1998,200-201.[9]A. Rosenfeld. C. K. Avinash, Digital Picture Processing, New York, NY, Academic Press, 1976,263-276.
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