Vehicle recognition using curvelet transform and thresholding

Advances in Computer and Information Sciences and Engineering

Volumn , Issue , 2008, Pages 142-146

  Kazemi, Farhad Mohamad ^a   Pourreza, Hamid Reza ^b   Moravejian, Reihaneh ^a   Kazemi, Ehsan Mohamad ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

CURVELET COEFFICIENTS; CURVELET TRANSFORMS; MULTI-SCALE TRANSFORMS; ORIENTATION PARAMETER; RECOGNITION SYSTEMS; STANDARD DEVIATION; TIME-FREQUENCY LOCALIZATION; VEHICLE RECOGNITION;

MATRIX ALGEBRA; SOFTWARE ENGINEERING;

INFORMATION USE;

EID: 80052655733     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-4020-8741-7_26     Document Type: Conference Paper

References (16)

1. MP. Dubuisson-Jolly, S. Lakshmanan, and A. Jain. Vehicle segmentation and classification using deformable templates. IEEE Transactions Pattern Analysis and Machine Intelligence, 18(3):293- 308, 1996.
2. 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. W. Wei, Q. Zhang, and M. Wang. A method of vehicle classification using models and neural networks. In IEEE Vehicular Technology Conference. IEEE, 2001.
4. E.J. Candes, D.L. Donoho, "Curvelets - A surprisingly effective nonadaptive representation for objects with edges", Curve and Surface Fitting, Vanderbilt Univ.Press 1999.
5. T. Kato, Y. Ninomiya, and I. Masaki. Preceding vehicle recognition based on learning from sample images. IEEE Transactions on Intelligent Transportation Systems, 3(4):252-260, 2002.
6. A. Lai, G. Fung, and N Yung. Vehicle type classification from visual-based dimension estimation. In IEEE Intelligent Transportation Systems Conference, pages 201-206. IEEE, 2001.
7. N. Matthews, P. An, D. Charnley, and C. Harris. Vehicle detection and recognition in greyscale 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.
9. Video-based Car Surveillance: License Plate, Make, and Model Recognition, Thesis, Masters of Science in Computer Science University of California, San Diego, 2005.
10. E.J. Candes, D.L. Donoho, "New Tight Frames of Curvelets and Optimal Representations of Objects with Smooth Singularities", Technical Report, Stanford University, 2002.
11. D.L. Donoho, "De-noising by soft-thresholding", IEEE Transactions on Information Theory, 1995.
12. B.S. Kashin, V.N. Temlyakov, "On best m-term approximations and the entropy of sets in the space L1" Mathematical Notes 56, 1137- 1157, 1994.
13. E.J. Candes, L. Demanet, D.L. Donoho, L. Ying, "Fast Discrete Curvelet Transforms" Technical Report, Cal Tech, 2005.
14. S. Theodoridis, K. Koutroumbas, Pattern Recognition, Academic Press, New York, 1999.
15. F. M.Kazemi, S. Samadi, "Vehicle Recognition Based on Fourier, Wavelet and Curvelet Transforms - a Comparative Study, " IEEE, International Conference on Information Technology (ITNG'07), USA, pp. 939-940, 2007.
16. F. M.Kazemi, S. Samadi "Vehicle Recognition Based on Fourier, Wavelet and Curvelet Transforms - a Comparative Study", IJCSNS International Journal of Computer Science and Network Security, VOL.7 No.2, pp. 130-135, 2007.