메뉴 건너뛰기




Volumn 2014, Issue , 2014, Pages

A vehicle detection algorithm based on deep belief network

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARCHITECTURE; ARTICLE; DEEP BELIEF NETWORK; INFORMATION; LEARNING; MONOCULAR VISION; SAFETY; VISION BASED VEHICLE DETECTION;

EID: 84901815784     PISSN: 23566140     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2014/647380     Document Type: Article
Times cited : (48)

References (17)
  • 2
    • 33745625892 scopus 로고    scopus 로고
    • Monocular precrash vehicle detection: Features and classifiers
    • DOI 10.1109/TIP.2006.877062
    • Miller R., Sun Z., Bebis G., Monocular precrash vehicle detection: features and classifiers. IEEE Transactions on Image Processing 2006 15 7 2019 2034 2-s2.0-33745625892 10.1109/TIP.2006.877062 (Pubitemid 43985079)
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.7 , pp. 2019-2034
    • Sun, Z.1    Bebis, G.2    Miller, R.3
  • 3
    • 84899057415 scopus 로고    scopus 로고
    • Active learning for on-road vehicle detection: A comparative study
    • 2-s2.0-83355161570 10.1007/s00138-011-0388-y
    • Sivaraman S., Trivedi M. M., Active learning for on-road vehicle detection: a comparative study. Machine Vision and Applications 2011 1 13 2-s2.0-83355161570 10.1007/s00138-011-0388-y
    • (2011) Machine Vision and Applications , pp. 1-13
    • Sivaraman, S.1    Trivedi, M.M.2
  • 4
    • 84865362226 scopus 로고    scopus 로고
    • Symmetry-based monocular vehicle detection system
    • Teoh S., Brunl T., Symmetry-based monocular vehicle detection system. Machine Vision and Applications 2012 23 831 842
    • (2012) Machine Vision and Applications , vol.23 , pp. 831-842
    • Teoh, S.1    Brunl, T.2
  • 7
    • 70449561161 scopus 로고    scopus 로고
    • Car detection using multi-feature selection for varying poses
    • June 2-s2.0-70449561161 10.1109/IVS.2009.5164330
    • Son T. T., Mita S., Car detection using multi-feature selection for varying poses. Proceedings of the IEEE Intelligent Vehicles Symposium June 2009 507 512 2-s2.0-70449561161 10.1109/IVS.2009.5164330
    • (2009) Proceedings of the IEEE Intelligent Vehicles Symposium , pp. 507-512
    • Son, T.T.1    Mita, S.2
  • 11
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • DOI 10.1162/neco.2006.18.7.1527
    • Hinton G. E., Osindero S., Teh Y.-W., A fast learning algorithm for deep belief nets. Neural Computation 2006 18 7 1527 1554 2-s2.0-33745805403 10.1162/neco.2006.18.7.1527 (Pubitemid 44024729)
    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 13
    • 78149336740 scopus 로고    scopus 로고
    • Convolutional learning of spatio-temporal features
    • Lecture Notes in Computer Science
    • Taylor G., Fergus R., Cun Y. L., Bregler C., Convolutional learning of spatio-temporal features. Computer Vision-ECCV 2010 2010 6316 140 153 Lecture Notes in Computer Science
    • (2010) Computer Vision - ECCV 2010 , vol.6316 , pp. 140-153
    • Taylor, G.1    Fergus, R.2    Cun, Y.L.3    Bregler, C.4
  • 14
    • 84893100083 scopus 로고    scopus 로고
    • Learning ensemble classifiers via restricted Boltzmann machines
    • Zhang C. X., Zhang J. S., Ji N. N., Learning ensemble classifiers via restricted Boltzmann machines. Pattern Recognition Letters 2014 36 161 170
    • (2014) Pattern Recognition Letters , vol.36 , pp. 161-170
    • Zhang, C.X.1    Zhang, J.S.2    Ji, N.N.3
  • 16
    • 33947194180 scopus 로고    scopus 로고
    • Graph embedding and extensions: A general framework for dimensionality reduction
    • DOI 10.1109/TPAMI.2007.250598
    • Yan S., Xu D., Zhang B., Zhang H.-J., Yang Q., Lin S., Graph embedding and extensions: a general framework for dimensionality reduction. IEEE Transactions on Pattern Analysis and Machine Intelligence 2007 29 1 40 51 2-s2.0-33947194180 10.1109/TPAMI.2007.250598 (Pubitemid 46415944)
    • (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.29 , Issue.1 , pp. 40-51
    • Yan, S.1    Xu, D.2    Zhang, B.3    Zhang, H.-J.4    Yang, Q.5    Lin, S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.