메뉴 건너뛰기




Volumn 3, Issue 5, 1994, Pages 678-683

Correspondence Nonuniform Image Motion Estimation using Kalman Filtering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ESTIMATION; KALMAN FILTERING; MATHEMATICAL MODELS; RECURSIVE FUNCTIONS; VIDEO SIGNAL PROCESSING;

EID: 0028495104     PISSN: 10577149     EISSN: 19410042     Source Type: Journal    
DOI: 10.1109/83.334977     Document Type: Article
Times cited : (26)

References (16)
  • 2
    • 0022049827 scopus 로고
    • Advances in picture coding
    • Apr.
    • H.G. Musmann, P. Pirsch, and H.J. Grallet, “Advances in picture coding,” Proc. IEEE, vol. 73, no. 4, pp. 523–547, Apr. 1985.
    • (1985) Proc. IEEE , vol.73 , Issue.4 , pp. 523-547
    • Musmann, H.G.1    Pirsch, P.2    Grallet, H.J.3
  • 3
    • 0018443040 scopus 로고
    • Motion compensated television coding: Part I
    • Mar.
    • A.N. Netravali and J.D. Robbins, “Motion compensated television coding: Part I,” Bell Syst. Tech. J., vol. 58, no. 3, pp. 631–670, Mar. 1979.
    • (1979) Bell Syst. Tech. J. , vol.58 , Issue.3 , pp. 631-670
    • Netravali, A.N.1    Robbins, J.D.2
  • 4
    • 0020642552 scopus 로고
    • Kalman filter formulation of low-level television image motion estimation
    • J.A. Stuller and G. Krishnamurthy, “Kalman filter formulation of low-level television image motion estimation,” Comput. Vision, Graphics Image Processing, vol. 21, pp. 169–204, 1983.
    • (1983) Comput. Vision, Graphics Image Processing , vol.21 , pp. 169-204
    • Stuller, J.A.1    Krishnamurthy, G.2
  • 5
    • 84947659899 scopus 로고
    • Adaptive multiple-input constrained pel recursive displacement estimation
    • pp. III.245-III.248.
    • S.N. Efstratiadis and A.K. Katsaggelos, “Adaptive multiple-input constrained pel recursive displacement estimation,” in Proc. ICASSP′92, 1992, pp. III.245-III.248.
    • (1992) Proc. ICASSP′92
    • Efstratiadis, S.N.1    Katsaggelos, A.K.2
  • 6
    • 0026923444 scopus 로고
    • Bayesian estimation of motion vector fields
    • Sept.
    • K. Janusz and E. Dubois, “Bayesian estimation of motion vector fields,” IEEE Trans. Patt. Anal. Machine Intell., vol. 14, no. 9, pp. 910–927, Sept. 1992.
    • (1992) IEEE Trans. Patt. Anal. Machine Intell. , vol.14 , Issue.9 , pp. 910-927
    • Janusz, K.1    Dubois, E.2
  • 7
    • 84939359799 scopus 로고
    • An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences
    • Sept.
    • H.H. Nagel and W. Enkelmann, “An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences,” IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-8, no. 5, pp. 565–593, Sept. 1986.
    • (1986) IEEE Trans. Patt. Anal. Machine Intell. , vol.8 PAMI , Issue.5 , pp. 565-593
    • Nagel, H.H.1    Enkelmann, W.2
  • 8
    • 0019597413 scopus 로고
    • Determining optical flow
    • B.K.P. Horn and B.G. Schunck, “Determining optical flow,” Artificial Intell., vol. 17, pp. 506–524, 1981.
    • (1981) Artificial Intell. , vol.17 , pp. 506-524
    • Horn, B.K.P.1    Schunck, B.G.2
  • 9
    • 0025386537 scopus 로고
    • Nonuniform image motion estimation from noisy data
    • Feb.
    • N.M. Namazi and C.H. Lee, “Nonuniform image motion estimation from noisy data,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, no. 2, pp. 364–366, Feb. 1990.
    • (1990) IEEE Trans. Acoust., Speech, Signal Processing , vol.38 , Issue.2 , pp. 364-366
    • Namazi, N.M.1    Lee, C.H.2
  • 10
    • 84941605119 scopus 로고
    • Use of the generalized maximum likelihood algorithm to estimation of the Markovian modelled image motion
    • Oct.
    • N.M. Namazi and D.W. Foxall, “Use of the generalized maximum likelihood algorithm to estimation of the Markovian modelled image motion,” J. Opt. Eng., vol. 30, no. 10, pp. 1486–1489, Oct. 1991.
    • (1991) J. Opt. Eng. , vol.30 , Issue.10 , pp. 1486-1489
    • Namazi, N.M.1    Foxall, D.W.2
  • 11
    • 0026711403 scopus 로고
    • On the convergence of the generalized maximum likelihood algorithm for nonuniform image motion estimation
    • Jan.
    • N.M. Namazi and D.W. Foxall, “On the convergence of the generalized maximum likelihood algorithm for nonuniform image motion estimation,” IEEE Trans. Image Processing, vol. 1, no. 1, pp. 116–119, Jan. 1992.
    • (1992) IEEE Trans. Image Processing , vol.1 , Issue.1 , pp. 116-119
    • Namazi, N.M.1    Foxall, D.W.2
  • 12
    • 0001242231 scopus 로고
    • Nonuniform image motion estimation based on the maximum a posteriori principle
    • Oct.
    • N.M. Namazi and J.I. Lipp, “Nonuniform image motion estimation based on the maximum a posteriori principle,” IEEE Trans. Image Processing, vol. 1, no. 4, pp. 520–525, Oct. 1992.
    • (1992) IEEE Trans. Image Processing , vol.1 , Issue.4 , pp. 520-525
    • Namazi, N.M.1    Lipp, J.I.2
  • 13
    • 0027578516 scopus 로고
    • Nonuniform image motion estimation in reduced coefficient transformed-domains
    • Apr.
    • N.M. Namazi and J.I. Lipp, “Nonuniform image motion estimation in reduced coefficient transformed-domains,” IEEE Trans. Image Processing, vol. 2, no. 2, pp. 236–246, Apr. 1993.
    • (1993) IEEE Trans. Image Processing , vol.2 , Issue.2 , pp. 236-246
    • Namazi, N.M.1    Lipp, J.I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.