Journal of Information Processing Systems

  • 제2권1호
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  • Pages.52-57
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  • 2006
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  • 1976-913X(pISSN)
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  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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Vehicle Classification by Road Lane Detection and Model Fitting Using a Surveillance Camera

  • 발행 : 2006.03.01
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초록

One of the important functions of an Intelligent Transportation System (ITS) is to classify vehicle types using a vision system. We propose a method using machine-learning algorithms for this classification problem with 3-D object model fitting. It is also necessary to detect road lanes from a fixed traffic surveillance camera in preparation for model fitting. We apply a background mask and line analysis algorithm based on statistical measures to Hough Transform (HT) in order to remove noise and false positive road lanes. The results show that this method is quite efficient in terms of quality.

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참고문헌

  1. Hollborn, S., 'Intelligent Transport Systems (ITS) in Japan', Technische Universitat Darmstadt, 2002
  2. Palen. J., 'The need for surveillance in Intelligent Transportation Systems', Intellimotion, vol. 6, no. 1, pp. 1-16, 1997
  3. Kang; D.J., Choi; J. W., Kweon, I. S., 'Finding and tracking road lanes using line-snakes', in Proceedings of the IEEE Intelligent Vehicles Symposium, pp.189–194, 1996
  4. Jochem, T. M., Baluja, S., 'A massively parallel road follower', in Proceedings of Computer Architectures for Machine Perception, pp.2-12, 1993
  5. Lai, A.H.S., Yung , N. H. C., 'Lane detection by orienttation and length discrimination', IEEE Transactions on Systems, Man and Cybernetics, Part B Volume 30, Issue 4, pp.539-548, 2000 https://doi.org/10.1109/3477.865171
  6. Lai, A.H.S.; Yung, N. H. C., 'A fast and accurate scoreboard algorithm for estimating stationary backgrounds in an image sequence' IEEE Circuits and Systems, Volume 4, pp.241-244, 1998
  7. Haritaoglu, I., Harwood, D., Davis, L. S., 'A Fast Background Scene Modeling and Maintenance for Outdoor Surveillance' IEEE Pattern Recognition Volume 4, pp.179-183, 2000
  8. Farin, D., de With, P.H.N. , Effelsberg, W., 'Robust background estimation for complex video sequences', in ICIP Proceedings. Volume 1, pp.14-17, 2003
  9. Gonzalez, R. C., Woods, R. E., 'Digital Image Processing.' Addison-Wesley, 1992
  10. Gupte, S.; Masoud, O. Martin, R.F.K. Papanikolopoulos, N.P. 'Detection and classification of vehicles', IEEE Transactions on Intelligent Transportation Systems, Volume 3, Issue 1, pp.37-47, 2002 https://doi.org/10.1109/6979.994794
  11. Lai, A.H.S. Fung, G.S.K. Yung, N.H.C. 'Vehicle type classification from visual-based dimension estimation', in IEEE Proceedings of Intelligent Transportation Systems,. pp.201-206, 2001
  12. W. S. Shin, D. H. Song, C. H. Lee, 'Road Lane Detection by Background Mask and Hough Transform' in Proceedings of APIS, Hangzhou, China, 2006
  13. Pang, C.C.C. Lam, W.W.L. Yung, N.H.C, 'A novel method for resolving vehicle occlusion in a monocular traffic-image sequence', IEEE Transactions on Intelligent Transportation Systems, Volume 5., No. 3, pp.129-141, 2004 https://doi.org/10.1109/TITS.2004.833769
  14. Yoneyama, A. Yeh, C.H., Kuo, C.-C.J., 'Moving cast shadow elimination for robust vehicle extraction based on 2D joint vehicle/shadow models', in Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance. 2003
  15. Aha, D.W., 'A Study of Instance-Base Algorithms for Supervised Learning Task: Mathematical, Empirical, and Psychological Evaluations', Ph.D. Dissertation, University of California, Irvine, 1990
  16. Quinlan, J. R., 'C4.5: Programs for Machine Learning'. Morgan Kaufmann 1993

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