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Volumn 59, Issue 6, 2010, Pages 2795-2805

Vehicle-classification algorithm based on component analysis for single-loop inductive detector

Author keywords

Discrete Fourier transform (DFT); inductive loop (IL); neural networks; noise removal; Principal Component Analysis (PCA); vehicle classification

Indexed keywords

BACK-PROPAGATION NEURAL NETWORKS; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; COMPONENT ANALYSIS; DATA SAMPLING; DECORRELATIONS; DIMENSIONALITY REDUCTION; HEIGHT VARIATION; INDUCTIVE LOOP (IL); INDUCTIVE LOOP DETECTORS; INDUCTIVE LOOPS; LOCAL MAXIMUM; NOISE REMOVAL; ORIGINAL SIGNAL; PRINCIPAL COMPONENTS; RAW SIGNALS; RECOGNITION RATES; VEHICLE CLASSIFICATION;

EID: 77954603655     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2010.2049756     Document Type: Article
Times cited : (68)

References (23)
  • 1
    • 77954598531 scopus 로고    scopus 로고
    • In situ vehicle classification using an ILD and a magnetoresistive sensor array
    • Univ. Minnesota Duluth, Duluth, MN, TR-CTS09-06, Feb.
    • S. G. Burns, "In situ vehicle classification using an ILD and a magnetoresistive sensor array," Dept. Elect. Comput. Eng., Univ. Minnesota Duluth, Duluth, MN, TR-CTS09-06, Feb. 2009.
    • (2009) Dept. Elect. Comput. Eng.
    • Burns, S.G.1
  • 2
    • 37949002761 scopus 로고    scopus 로고
    • An Eastern European example of the identification of moving vehicle parameters using the tried and trusted method of weigh in motion
    • Aug./Sep.
    • J. Gajda, R. Sroka, M. Stencel, and T. Zeqlen, "An Eastern European example of the identification of moving vehicle parameters using the tried and trusted method of weigh in motion," Traffic Technol. Int., pp. 87-90, Aug./Sep. 2000.
    • (2000) Traffic Technol. Int. , pp. 87-90
    • Gajda, J.1    Sroka, R.2    Stencel, M.3    Zeqlen, T.4
  • 3
    • 0033319452 scopus 로고    scopus 로고
    • Experiences and results from vehicle classification using infrared overhead laser sensors at toll plazas in New York City
    • Oct.
    • S. Tropartz, E. Hörber, and K. Grüner, "Experiences and results from vehicle classification using infrared overhead laser sensors at toll plazas in New York City," in Proc. IEEE /IEEJ/JSAI Conf. Intell. Transp. Syst., Oct. 1999, pp. 686-691.
    • (1999) Proc. IEEE /IEEJ/JSAI Conf. Intell. Transp. Syst. , pp. 686-691
    • Tropartz, S.1    Hörber, E.2    Grüner, K.3
  • 4
    • 37849188637 scopus 로고    scopus 로고
    • Vehicle classification algorithm for singleloop detectors using neural networks
    • Nov.
    • Y. K. Ki and D. K. Baik, "Vehicle classification algorithm for singleloop detectors using neural networks," IEEE Trans. Veh. Technol., vol.55, no.6, pp. 1704-1711, Nov. 2006.
    • (2006) IEEE Trans. Veh. Technol. , vol.55 , Issue.6 , pp. 1704-1711
    • Ki, Y.K.1    Baik, D.K.2
  • 6
    • 0024864787 scopus 로고
    • Microprocessor- and PC-based vehicle classification equipment using induction loops
    • M. Pursula and I. Kosonen, "Microprocessor- and PC-based vehicle classification equipment using induction loops," in Proc. IEE 2nd Int. Conf. Road Traffic Monit., 1989, pp. 24-28.
    • (1989) Proc. IEE 2nd Int. Conf. Road Traffic Monit. , pp. 24-28
    • Pursula, M.1    Kosonen, I.2
  • 7
    • 37949045806 scopus 로고    scopus 로고
    • Measurement of road traffic parameters using an inductive single-loop detector
    • Glasgow, U.K., Sep.
    • J. Gajda, R. Sroka, M. Stencel, and T. Zeqlen, "Measurement of road traffic parameters using an inductive single-loop detector," in Proc. 9th IMEKO Symp., Glasgow, U.K., Sep. 1997.
    • (1997) Proc. 9th IMEKO Symp.
    • Gajda, J.1    Sroka, R.2    Stencel, M.3    Zeqlen, T.4
  • 8
    • 33645017484 scopus 로고    scopus 로고
    • An investigation in the use of inductive loop signatures for vehicle classification
    • Inst. Transp. Stud., Univ. California, Berkeley, CA, Mar.
    • C. Sun, "An investigation in the use of inductive loop signatures for vehicle classification," Inst. Transp. Stud., Univ. California, Berkeley, CA, California PATH Res. Rep., UCB-ITS-PRR-2000 4, Mar. 2000.
    • (2000) California PATH Res. Rep., UCB-ITS-PRR-2000 4
    • Sun, C.1
  • 9
    • 0034835104 scopus 로고    scopus 로고
    • A vehicle classification based on inductive loop detectors
    • May
    • J. Gajda, R. Sroka, M. Stencel, A. Wajda, and T. Zeqlen, "A vehicle classification based on inductive loop detectors," in Proc. 18th IEEE IMTC, May 2001, vol.1, pp. 460-464.
    • (2001) Proc. 18th IEEE IMTC , vol.1 , pp. 460-464
    • Gajda, J.1    Sroka, R.2    Stencel, M.3    Wajda, A.4    Zeqlen, T.5
  • 10
    • 4644318788 scopus 로고    scopus 로고
    • Data fusion methods based on fuzzy measures in vehicle classification process
    • May 18-20
    • R. Sroka, "Data fusion methods based on fuzzy measures in vehicle classification process," in Proc. 21st IEEE IMTC, May 18-20, 2004, vol.3, pp. 2234-2239.
    • (2004) Proc. 21st IEEE IMTC , vol.3 , pp. 2234-2239
    • Sroka, R.1
  • 11
    • 33845302645 scopus 로고    scopus 로고
    • Artificial neural network method for length-based vehicle classification using single-loop outputs
    • G. H. Zhang, Y. H. Wang, and H. Wei, "Artificial neural network method for length-based vehicle classification using single-loop outputs," Traffic Urban Data, Transp. Res. Rec., no.1945, pp. 100-108, 2006.
    • (2006) Traffic Urban Data, Transp. Res. Rec. , Issue.1945 , pp. 100-108
    • Zhang, G.H.1    Wang, Y.H.2    Wei, H.3
  • 12
    • 67349122907 scopus 로고    scopus 로고
    • Removal of correlated noise by modeling spatial correlations and interscale dependencies in the complex wavelet domain
    • Jun.
    • B. Goossens, A. Pizurica, andW. Philips, "Removal of correlated noise by modeling spatial correlations and interscale dependencies in the complex wavelet domain," IEEE Trans. Image Process., vol.18, no.6, pp. 1153- 1165, Jun. 2009.
    • (2009) IEEE Trans. Image Process. , vol.18 , Issue.6 , pp. 1153-1165
    • Goossens, B.1    Pizurica, A.2    Philips, W.3
  • 13
    • 0025418849 scopus 로고
    • Fast Fourier transforms: A tutorial review and a state of the art
    • Apr.
    • P. Duhamel and M. Vetterli, "Fast Fourier transforms: A tutorial review and a state of the art," Signal Process., vol.19, no.4, pp. 259-299, Apr. 1990.
    • (1990) Signal Process , vol.19 , Issue.4 , pp. 259-299
    • Duhamel, P.1    Vetterli, M.2
  • 14
    • 35348961513 scopus 로고    scopus 로고
    • Automatic number plate information extraction and recognition for intelligent transportation system
    • Jun.
    • M. Cinsdikici, A. Uur, and T. Tunalý, "Automatic number plate information extraction and recognition for intelligent transportation system," Imag. Sci. J., vol.55, no.2, pp. 102-113, Jun. 2007.
    • (2007) Imag. Sci. J. , vol.55 , Issue.2 , pp. 102-113
    • Cinsdikici, M.1    Uur, A.2    Tunalý, T.3
  • 15
    • 10044278604 scopus 로고    scopus 로고
    • PCA for gender estimation: Which eigenvectors contribute?
    • K. Balcý and V. Atalay, "PCA for gender estimation: Which eigenvectors contribute?" in Proc. 16th ICPR, 2002, vol.3, pp. 363-366.
    • (2002) Proc. 16th ICPR , vol.3 , pp. 363-366
    • Balcý, K.1    Atalay, V.2
  • 16
    • 33845794836 scopus 로고    scopus 로고
    • Bayesian classification of cork stoppers using class-conditional independent component analysis
    • Jan.
    • J. Vitrià, M. Bressan, and P. Radeva, "Bayesian classification of cork stoppers using class-conditional independent component analysis," IEEE Trans. Syst., Man, Cybern. C: Appl. Rev., vol.37, no.1, pp. 32-38, Jan. 2007.
    • (2007) IEEE Trans. Syst., Man, Cybern. C: Appl. Rev. , vol.37 , Issue.1 , pp. 32-38
    • Vitrià, J.1    Bressan, M.2    Radeva, P.3
  • 17
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces vs. fisherfaces: Recognition using class-specific linear projection
    • Jul.
    • P. Belhumeur, J. Hespanha, and D. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class-specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol.19, no.7, pp. 711-720, Jul. 1997.
    • (1997) IEEE Trans. Pattern Anal. Mach. Intell. , vol.19 , Issue.7 , pp. 711-720
    • Belhumeur, P.1    Hespanha, J.2    Kriegman, D.3
  • 18
    • 0036522684 scopus 로고    scopus 로고
    • Using an ICA representation of local color histograms for object recognition
    • Mar.
    • M. Bressan, D. Guillamet, and J. Vitri, "Using an ICA representation of local color histograms for object recognition," Pattern Recognit., vol.36, no.3, pp. 691-701, Mar. 2003.
    • (2003) Pattern Recognit , vol.36 , Issue.3 , pp. 691-701
    • Bressan, M.1    Guillamet, D.2    Vitri, J.3
  • 19
    • 49249109272 scopus 로고    scopus 로고
    • RBF neural network and ANFIS-based short-term load-forecasting approach in real-time price environment
    • Aug.
    • Z. Yun, Z. Quan, S. Caixin, L. Shaolan, L. Yuming, and S. Yang, "RBF neural network and ANFIS-based short-term load-forecasting approach in real-time price environment," IEEE Trans. Power Syst., vol.23, no.3, pp. 853-858, Aug. 2008.
    • (2008) IEEE Trans. Power Syst. , vol.23 , Issue.3 , pp. 853-858
    • Yun, Z.1    Quan, Z.2    Caixin, S.3    Shaolan, L.4    Yuming, L.5    Yang, S.6
  • 20
    • 77953371180 scopus 로고    scopus 로고
    • 2nd ed. Pune, India: Technical
    • J. S. Chitode, Digital Signal Processing, 2nd ed. Pune, India: Technical, 2007, pp. 129-130.
    • (2007) Digital Signal Processing , pp. 129-130
    • Chitode, J.S.1
  • 21
    • 55549103722 scopus 로고    scopus 로고
    • Low-complexity principal component analysis for hyperspectral image compression
    • Nov.
    • Q. Du and J. E. Fowler, "Low-complexity principal component analysis for hyperspectral image compression," Int. J. High Perform. Comput. Appl., vol.22, no.4, pp. 438-448, Nov. 2008.
    • (2008) Int. J. High Perform. Comput. Appl. , vol.22 , Issue.4 , pp. 438-448
    • Du, Q.1    Fowler, J.E.2
  • 22
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • M. F. Moller, "A scaled conjugate gradient algorithm for fast supervised learning," Neural Netw., vol.6, no.4, pp. 525-533, 1993.
    • (1993) Neural Netw , vol.6 , Issue.4 , pp. 525-533
    • Moller, M.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.