Road sign classification using Laplace kernel classifier

Pattern Recognition Letters

Volumn 21, Issue 13-14, 2000, Pages 1165-1173

  Paclik P ^a,b,c,d   Novovicova J ^a,b,c   Pudil, P ^b,c   Somol, P ^b,c  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

^c UNIVERSITY OF ECONOMICS   (Czech Republic)

^d DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; HIGHWAY TRAFFIC CONTROL; IMAGE ANALYSIS; IMAGE QUALITY; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LAPLACE TRANSFORMS; PROBABILITY DENSITY FUNCTION;

EXPECTATION-MAXIMIZATION ALGORITHMS; KERNEL DENSITY ESTIMATIONS; ROAD SIGN RECOGNITIONS;

PATTERN RECOGNITION;

EID: 0342955022     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(00)00078-7     Document Type: Article

References (17)

1. Aldon, M.J., Pujas, P., 1995. Robust colour image segmentation. Seventh International Conference on Advanced Robotics, San Filiu de Guixols, Spain, September 20-22.
2. Dempster, A., Laird, N., Rubin, D., 1977. Maximum likelihood from incomplete data via EM algorithm. J. Royal Stat. Soc. 39, 1-38.
3. Devroye, L., Györfi, L., Lugosi, G., 1996. A Probabilistic Theory of Pattern Recognition. Springer, New York, ISBN 0-387-94618-7.
4. Duin, R.P.W., 1976. On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions. IEEE Transactions on Computing 25, 1175-1179.
5. Escalera, A., Moreno, L.E., Salichs, M.A., Armingol, J.M., 1997. Road Traffic Sign Detection and Classification. IEEE Transactions on Industrial Electronics 44 (6), 848-859.
6. Franke, U., Gavrilla, D., Görzig, S., Lindner, F., Paetzold, F., Wöhler, C., 1998. Autonomous Driving Goes Downtown. IEEE Journal of Intelligent Systems 13 (6).
7. Fukunaga, K., 1990. Introduction to Statistical Pattern Recognition. Academic Press, ISBN 0-12-269851-7.
8. Lalonde, M., Li, Y., 1995. Road Sign Recognition. Technical report, Centre de recherche informatique de Montréal, Survey of the State of the Art for Sub-Project 2.4, CRIM/ IIT.
9. Líbal, V., Paclík, P., Kovář, B., Mošna, P., Vlček, M., Zahradník, P., 1998. Road Sign Recognition System using TMS320C80. Proceedings of second European DSP Education and Research Conference, ESIEE, Paris, France.
10. Líbal, V., Paclík, P., Kovář, B., Zahradník, P., Vlček, M., 1997. Road Signs Recognition System. TI DSP Challenge, Praha.
11. Líbal, V., Zikmund, T., Paclík, P., Králík, M., Kovář, B., Zahradník, P., Vlček, M., 1996, Traffic Sign Identification and Automatic Template Generation. Proceedings of Workshop'96, ČVUT Praha, Part I, 185-186.
12. McLachlan, G., 1992. Discriminant Analysis and Statistical Pattern Recognition. Wiley, New York.
13. Nagel, H.H., Computer Vision for Support of Road Vehicles Drivers. Institut für Algorithmen und Kognitive Systeme, Uni.Karlsruhe, http://www-kogs.iitb.fhg.de/cveducat/Drivers/.
14. Paclík, P., 1998. Automatical Classification of Road Signs. Master thesis, Faculty of Transportation Sciences, Czech Technical Univeristy, Prague.
15. Paclík, P., Novovičová, J., 2000. Road sign classification without color information, ASCI 2000, Proceedings of Sixth Annual Conference of the Advanced School for Computing and Imaging, Lommel, Belgium, June 14-16, ASCI, Delft.
16. Priese, L., Klieber, J., Lakmann, R., Rehrmann, V., Schian, R., 1994. New results on traffic sign recognition. Proceedings of the Intelligent Vehicles Symposium. IEEE, Paris, October 24-26.
17. Sain, S.R., 1994, Adaptive Kernel Density Estimation. PhD thesis, Rice University, Houston, TX.