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Volumn , Issue , 2008, Pages 894-898

Vehicle recognition using contourlet transform and SVM

Author keywords

[No Author keywords available]

Indexed keywords

CONTOURLET TRANSFORM; INFORMATION NUMBERS;

EID: 44049089709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITNG.2008.136     Document Type: Conference Paper
Times cited : (41)

References (14)
  • 2
    • 44049095435 scopus 로고    scopus 로고
    • J. Ferryman, A . Worral, G. Sulliva, and K. Baker.A generic deformable model for vehicle recognition. In British Machine Vision Conference, pages 127-136. British Machine Vision Association, 1995.
    • J. Ferryman, A . Worral, G. Sulliva, and K. Baker.A generic deformable model for vehicle recognition. In British Machine Vision Conference, pages 127-136. British Machine Vision Association, 1995.
  • 3
    • 0035190650 scopus 로고    scopus 로고
    • A method of vehicle classification using models and neural networks
    • IEEE
    • W. Wei, Q. Zhang, and M. Wang. A method of vehicle classification using models and neural networks. In IEEE Vehicular Technology Conference. IEEE, 2001.
    • (2001) IEEE Vehicular Technology Conference
    • Wei, W.1    Zhang, Q.2    Wang, M.3
  • 4
    • 28944432472 scopus 로고    scopus 로고
    • The contourlet transform: An efficient directional multiresolution image representation
    • M. N. Do and M. Vetterli. The contourlet transform: An efficient directional multiresolution image representation. IEEE Trans. on Image Processing, 14(12):2091-2106, 2005.
    • (2005) IEEE Trans. on Image Processing , vol.14 , Issue.12 , pp. 2091-2106
    • Do, M.N.1    Vetterli, M.2
  • 7
    • 0030127909 scopus 로고    scopus 로고
    • N. Matthews, P. An, D. Charnley, and C. Harris. Vehicle detection and recognition in grayscale imagery. Control Engineering Practice, 4(4):472-479, 1996. [8] V.S.Petrovic and T.F.Cootes. Analysis of Features for Rigid Structure Vehicle Type Recognition,.2003.
    • N. Matthews, P. An, D. Charnley, and C. Harris. Vehicle detection and recognition in grayscale imagery. Control Engineering Practice, 4(4):472-479, 1996. [8] V.S.Petrovic and T.F.Cootes. Analysis of Features for Rigid Structure Vehicle Type Recognition,.2003.
  • 8
    • 44049108817 scopus 로고    scopus 로고
    • L. Dlagnekov, Video-based Car Surveillance: License Plate, Make, and Model Recognition,Thesis , Masters of Science in Computer Science University of California, San Diego, 2005.
    • L. Dlagnekov, Video-based Car Surveillance: License Plate, Make, and Model Recognition,Thesis , Masters of Science in Computer Science University of California, San Diego, 2005.
  • 9
    • 0020737631 scopus 로고
    • The laplacian pyramid as a compact image codes
    • Apr
    • P. J. Burt and E. H. Adelson. The laplacian pyramid as a compact image codes. IEEE Trans. on Communications, 31:532-540, Apr. 1983.
    • (1983) IEEE Trans. on Communications , vol.31 , pp. 532-540
    • Burt, P.J.1    Adelson, E.H.2
  • 10
    • 27144489164 scopus 로고    scopus 로고
    • C.J.C. Burges, A Tutorial on Suport Vector Machines for Pattern Recognition, Knowledge Discovery Data Mining, 2, no.2, pp. 121-167, 1998. [12] C. Burges and B. Scholkopf. Improving speed and accuracy of support vector learning machines. In Advances in Kernel Methods: Support Vector Learnings, pages 375-381, Cambridge, MA, MIT Press, 1997,.
    • C.J.C. Burges, "A Tutorial on Suport Vector Machines for Pattern Recognition," Knowledge Discovery Data Mining, vol. 2, no.2, pp. 121-167, 1998. [12] C. Burges and B. Scholkopf. Improving speed and accuracy of support vector learning machines. In Advances in Kernel Methods: Support Vector Learnings, pages 375-381, Cambridge, MA, MIT Press, 1997,.
  • 13


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.