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Volumn 26, Issue 3, 2012, Pages

Vehicle type and make recognition by combined features and rotation forest ensemble

Author keywords

Curvelet transform; pyramid histogram of oriented gradients; Rotation Forest ensemble; Vehicle type classification

Indexed keywords

BASE CLASSIFIERS; CLASS LABELS; CLASSIFICATION ACCURACY; CLASSIFICATION RATES; COMBINED FEATURES; COMPOSITE FEATURES; CURVELET TRANSFORMS; CURVELETS; ENSEMBLE METHODS; ENSEMBLE MODELS; FEATURE EXTRACTION METHODS; IMAGE DESCRIPTIONS; INTELLIGENT TRANSPORTATION SYSTEMS; LOCAL SHAPE; MAJORITY VOTING; PYRAMID HISTOGRAM OF ORIENTED GRADIENTS; REAL-LIFE APPLICATIONS; SUB-REGIONS; SURVEILLANCE CAMERAS; VEHICLE CLASSIFICATION; VEHICLE IMAGES; VEHICLE TYPES;

EID: 84865712685     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001412500048     Document Type: Article
Times cited : (10)

References (46)
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, Bagging predictors, Mach. Learn. 24 (1996) 123-140. (Pubitemid 126724382)
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman, Random forests, Mach. Learn. 45 (2001) 5-32. (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik, Support vector networks, Mach. Learn. 20 (1995) 273-297.
    • (1995) Mach. Learn. , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 10
    • 0031211090 scopus 로고    scopus 로고
    • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
    • Y. Freund and R. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, J. Comput. Syst. Sci. 55 (1997) 119-139. (Pubitemid 127433398)
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 12
    • 63749093755 scopus 로고    scopus 로고
    • Edge detection in microscopy images using curvelets
    • doi:10.1186/1471-2105-10-75
    • T. Geback and P. Koumoutsakos, Edge detection in microscopy images using curvelets, BMC Bioinformatics 10(75) (2009), doi:10.1186/1471-2105-10-75.
    • (2009) BMC Bioinformatics , vol.10 , Issue.75
    • Geback, T.1    Koumoutsakos, P.2
  • 13
    • 85067032737 scopus 로고    scopus 로고
    • On feature combination for multiclass object classīcation
    • Kyoto, Japan
    • P. Gehler and S. Nowozin, On feature combination for multiclass object classīcation, IEEE Int. Conf. Computer Vision (ICCV), Kyoto, Japan (2009), pp. 221-228.
    • (2009) IEEE Int. Conf. Computer Vision (ICCV) , pp. 221-228
    • Gehler, P.1    Nowozin, S.2
  • 19
    • 0346741364 scopus 로고    scopus 로고
    • Preceding vehicle recognition based on learning from sample images
    • T. Kato, Y. Ninomiya and I. Masaki, Preceding vehicle recognition based on learning from sample images, IEEE Trans. Intell. Transp. Syst. 3(4) (2002) 252-260.
    • (2002) IEEE Trans. Intell. Transp. Syst. , vol.3 , Issue.4 , pp. 252-260
    • Kato, T.1    Ninomiya, Y.2    Masaki, I.3
  • 26
    • 42749094856 scopus 로고    scopus 로고
    • Cancer classīcation using Rotation Forest
    • K. Liu and D. Huang, Cancer classīcation using Rotation Forest, Comput. Biol. Med. 38 (2008) 601-610.
    • (2008) Comput. Biol. Med. , vol.38 , pp. 601-610
    • Liu, K.1    Huang, D.2
  • 27
    • 85032752378 scopus 로고    scopus 로고
    • The Curvelet transform: A review of recent applications
    • J. Ma and G. Plonka, The Curvelet transform: A review of recent applications, IEEE Signal Process. Mag. 27(2) (2010) 118-133.
    • (2010) IEEE Signal Process. Mag. , vol.27 , Issue.2 , pp. 118-133
    • Ma, J.1    Plonka, G.2
  • 28
    • 67651087259 scopus 로고    scopus 로고
    • Curvelet based face recognition via dimension reduction
    • T. Mandal, Q. Wu and Y. Yuan, Curvelet based face recognition via dimension reduction, Signal Process. 89(12) (2009) 2345-2353.
    • (2009) Signal Process. , vol.89 , Issue.12 , pp. 2345-2353
    • Mandal, T.1    Wu, Q.2    Yuan, Y.3
  • 30
    • 34047213276 scopus 로고    scopus 로고
    • An oriented-contour point based voting algorithm for vehicle type classification
    • DOI 10.1109/ICPR.2006.264, 1698958, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
    • P. Negri, X. Clady, M. Milgram and R. Poulenard, An oriented-contour point based voting algorithm for vehicle type classīcation, 18th Int. Conf. Pattern Recognition (ICPR'06), Vol. 1 (2006), pp. 574-577. (Pubitemid 46531968)
    • (2006) Proceedings - International Conference on Pattern Recognition , vol.1 , pp. 574-577
    • Negri, P.1    Clady, X.2    Milgram, M.3    Poulenard, R.4
  • 31
    • 1242353028 scopus 로고    scopus 로고
    • Curvelet transform and its application in image retrieval
    • eds. H. Lu and T. Zhang, Proceedings of the SPIE
    • L. Ni and H. Leng, Curvelet transform and its application in image retrieval, 3rd Int. Symp. Multispectral Image Processing and Pattern Recognition, eds. H. Lu and T. Zhang, Proceedings of the SPIE, Vol. 5286 (2003), pp. 927-930.
    • (2003) 3rd Int. Symp. Multispectral Image Processing and Pattern Recognition , vol.5286 , pp. 927-930
    • Ni, L.1    Leng, H.2
  • 32
    • 34047216475 scopus 로고    scopus 로고
    • Analysis of features for rigid structure vehicle type recognition
    • V. Petrovic and T. Cootes, Analysis of features for rigid structure vehicle type recognition, in Proc. British Machine Vision Conf. (2004), pp. 587-596.
    • (2004) Proc. British Machine Vision Conf. , pp. 587-596
    • Petrovic, V.1    Cootes, T.2
  • 34
    • 0034243471 scopus 로고    scopus 로고
    • Boosting neural networks
    • H. Schwenk and Y. Bengio, Boosting neural networks, Neural Comput. 12(8) (2000) 1869-1887.
    • (2000) Neural Comput. , vol.12 , Issue.8 , pp. 1869-1887
    • Schwenk, H.1    Bengio, Y.2
  • 35
    • 77953123083 scopus 로고    scopus 로고
    • General active-learning framework for on-road vehicle recognition and tracking
    • S. Sivaraman and M. Trivedi, General active-learning framework for on-road vehicle recognition and tracking, IEEE Trans. Intell. Transp. Syst. 11(2) (2010) 267-276.
    • (2010) IEEE Trans. Intell. Transp. Syst. , vol.11 , Issue.2 , pp. 267-276
    • Sivaraman, S.1    Trivedi, M.2
  • 36
  • 38
    • 21644463633 scopus 로고    scopus 로고
    • On-road vehicle detection using evolutionary gabor filter optimization
    • DOI 10.1109/TITS.2005.848363
    • Z. Sun, G. Bebis and R. Miller, On-road vehicle detection using evolutionary Gabor ̄lter optimization, IEEE Trans. Intell. Transp. Syst. 6 (2005) 125-137. (Pubitemid 40925763)
    • (2005) IEEE Transactions on Intelligent Transportation Systems , vol.6 , Issue.2 , pp. 125-137
    • Sun, Z.1    Bebis, G.2    Miller, R.3
  • 39
    • 25144439113 scopus 로고    scopus 로고
    • A new method of feature fusion and its application in image recognition
    • DOI 10.1016/j.patcog.2004.12.013, PII S003132030500083X
    • Q. Sun, S. Zeng, Y. Liu, P. Heng and D. Xia, A new method of feature fusion and its application in image recognition, Pattern Recogn. 38(12) (2005) 2437-2448. (Pubitemid 41336713)
    • (2005) Pattern Recognition , vol.38 , Issue.12 , pp. 2437-2448
    • Sun, Q.-S.1    Zeng, S.-G.2    Liu, Y.3    Heng, P.-A.4    Xia, D.-S.5
  • 40
    • 0035190650 scopus 로고    scopus 로고
    • A method of vehicle classification using models and neural networks
    • W. Wei, Q. Zhang and M. Wang, A method of vehicle classīcation using models and neural networks, IEEE Vehicular Technology Conf., Rhodes (2001), pp. 3022-3026. (Pubitemid 33090513)
    • (2001) IEEE Vehicular Technology Conference , vol.4 , pp. 3022-3026
    • Wei, W.1    Zhang, Q.S.2    Wang, M.3
  • 41
    • 0036880906 scopus 로고    scopus 로고
    • Vehicle classīcation systems with local-feature based algorithm using CG model images
    • T. Yoshida, S. Mohottala, M. Kagesawa and K. Ikeuchi, Vehicle classīcation systems with local-feature based algorithm using CG model images, IEICE Trans. Info. Syst. E85-D(11) (2002) 1745-1752.
    • (2002) IEICE Trans. Info. Syst. , vol.E85-D , Issue.11 , pp. 1745-1752
    • Yoshida, T.1    Mohottala, S.2    Kagesawa, M.3    Ikeuchi, K.4
  • 42
    • 78649790712 scopus 로고    scopus 로고
    • O®-line signature verīcation and identīcation by pyramid histogram of oriented gradients
    • B. Zhang, O®-line signature verīcation and identīcation by pyramid histogram of oriented gradients, Int. J. Intell. Comput. Cybern. 3(4) (2010) 611-630.
    • (2010) Int. J. Intell. Comput. Cybern. , vol.3 , Issue.4 , pp. 611-630
    • Zhang, B.1
  • 43
    • 79955369093 scopus 로고    scopus 로고
    • Phenotype recognition with combined features and random subspace classīer ensemble
    • B. Zhang and T. Pham, Phenotype recognition with combined features and random subspace classīer ensemble, BMC Bioinformatics 12 (2011) 128.
    • (2011) BMC Bioinformatics , vol.12 , pp. 128
    • Zhang, B.1    Pham, T.2
  • 44
    • 44449124996 scopus 로고    scopus 로고
    • RotBoost: A technique for combining Rotation Forest and AdaBoost
    • C. Zhang and J. Zhang, RotBoost: A technique for combining Rotation Forest and AdaBoost, Pattern Recogn. Lett. 29 (2008) 1524-1536.
    • (2008) Pattern Recogn. Lett. , vol.29 , pp. 1524-1536
    • Zhang, C.1    Zhang, J.2
  • 45
    • 73749083245 scopus 로고    scopus 로고
    • A variant of Rotation Forest for constructing ensemble classīers
    • C. Zhang and J. Zhang, A variant of Rotation Forest for constructing ensemble classīers, Pattern Anal. Appl. 13 (2010) 59-77.
    • (2010) Pattern Anal. Appl. , vol.13 , pp. 59-77
    • Zhang, C.1    Zhang, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.