A static images based-system for traffic signs detection

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2006

Volumn , Issue , 2006, Pages 445-450

  Moreno, Valentin ^a   Ledezma, Agapito ^a   Sanchis, Araceli ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Classification algorithm; Colour detection techniques; Shape detection; Traffic signs

Indexed keywords

INFORMATION ANALYSIS; MATHEMATICAL MODELS; SHAPE MEMORY EFFECT; STATIC ANALYSIS; TRAFFIC SIGNS;

CLASSIFICATION ALGORITHMS; COLOUR DETECTION TECHNIQUES; REAL IMAGES; SHAPE DETECTION;

IMAGE RECOGNITION;

EID: 38049108296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. J.Gonzalez, Vision por Computador, THOMSON PARANINFO, S.A., 1999
2. NetNam Internet Service Provider, Institute of Information Technology, http://www.netnam.vn/unescocourse/computervision/12.htm
3. Diseña Linus, http://www.diariolinux.com/chronoh/index.php?seccion= tutoriales&mostrar=30
4. R. García, J.Batlle,Ll. Magíy Ll. Pacheco, Seguimiento de Múltiples Objetos: un Enfoque Predictivo en Revista Electrónica de Visión por Computador REVC)
5. Public Interest Registry, http://www.elmchan.org/works/yuv2rgb/report. html
6. D.Ferrarini,L.Oviedo, Sistemas caóticos en sexto (Encuentro de jóvenes investigadores)
7. Dpto Matemáticas de Universidad de Extremadura. http://kolmogorov.unex.es/~ojedamc/doc/biol/tema031.pdf
8. S. Bulusawar, B. Draper, Color recognition in outdoorr images, 6th Int. Conf. on Computer Vision, 1998, pp 171-177.
9. a.Armingol, Road Traffic Sign Detection and Classification, IEEE Transactionon Industrial Electronics, Vol 44, No 6, December 1997, pp 848-859
10. S.K. Kim, D.A. Forsyth, A new approach for road sign detection and recognition algorithm 30th International Symposium on Automotive Technology and Automation. Robotics, Motion and Machine Vision in the Automotive Industries, 1997; p.171-8
11. M.M. Zadeh, T. Kasvand, C.Y. Suen, Localization and recognition of traffic signs for automated vehicle control systems.Proceedings-of-the-SPIE vol.3207; 1998; p.272-82
12. P. Arnoul, M. Viala, J.P. Guerin, M. Mergy, Traffic signs localisation for highways inventory from a video camera on board amoving collection van, Proceedings of the 1996 IEEE Intelligent Vehicles Symposium, pp. 141-6
13. T. Hibi, Vision based extraction and recognition of road sign region from natural colour image, by using HSL and coordinates transformation. 29th ISATA Int conf 1996, pp 201-206
14. N. Kehtarnavaz, N.C. Griswold, D.S. Kang, Stop-sign recognition based on color/shape processing, Machine Vision and Applications, vol.6, no.4; Fall 1993; pp.206-8.
15. G. Piccioli, E. de Micheli, P. Parodia, M. Campani, Robust method for road sign detection and recognition. Image and Vision Computing, vol.14, no.3; April 1996; p.209-23.
16. D.S. Kang, N.C. Griswold, N. Kehtarnavaz, An invariant traffic sign recognition system based on sequential color processing and geometrical transformation, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 1994, pp.88-93
17. Y. Aoyagi, T. Asakura, A study on traffic sign recognition in scene image using genetic algorithms and neural networks, 1996 IEEE IECON, 22nd Int. Conf. on Industrial Electronics, Control, and Instrumentation, pp. 1838-43 vol.3
18. L. Priese, J. Klieber, R. Lakmann, V. Rehrmann, R. Schian, New results on traffic sign recognition. Proceedings of the Intelligent Vehicles '94 Symposium, 1994, pp.249-54.
19. L. Priese, R. Lakmann, V. Rehrmann, Ideogram identification in a realtime traffic sign recognition system. Proceedings of the Intelligent Vehicles '95. Symposium, 1995, pp. 310-14
20. R.C. Luo, H. Potlapalli, D. Hislop, Natural scene segmentation using fractal based autocorrelation, Int Conf on industrial electronics control instrumentation and automation, 1992, pp 700-705
21. G.Y. Jiang, T.Y. Choi, Robust detection of landmarks in color image based on fuzzy set theory ICSP '98. 1998 Fourth International Conference on Sign, 1998, pp. 968-71 vol.2
22. N. Bartneck, W. Ritter, Colour segmentation with polynomial classification, 11th IAPR International Conference on Pattern Recognition. Vol.11. Conference B: Pattern Recognition Methodology and Systems, 1992, pp. 635-8
23. R. Janssen, W. Ritter, F. Stein, S. Ott, Hybrid approach for traffic sign recognition, Intelligent Vehicels Symposium, 1993, pp 390-395
24. D.L. Kellmeyer, H.T. Zwahlen, Detection of highway warning signs in natural video images using color image processing and neural networks, IEEE International Conference on Neural Networks, 1994, pp. 4226-31 vol.7
25. H. Austerirmeier, U. Büker, B. Merstching, S. Zimmermann, Analysis of traffic scenes using the hierarchical structure code, Advance in structural & sysntatic pattern recognition 1992, pp 561-570.
26. B. Besserer, S. Estable, B. Ulmer, D. Reichqardt, Shape clasification for traffic sign recognition. 1st IFAC Int. Workshop Intelligent Autonomous Vehicles, 1993, pp 487-492
27. U. Buker, B. Mertsching, Parallel evaluation of hierarchical image databases. Journal-of-Parallel-and-Distributed-Computing. vol.31, no.2; Dec. 1995; pp.141-52
28. D.M. Gavrila, V. Philomin, Realtime object detection using distance transforms, IEEE Int. Conf. On Intelligent Vehicles
29. J.R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann. San Mateo, CA (Estados Unidos). 1993
30. I. Witten and E. Frank. Data mining: practical machine learning tools and techniques with Java implementations. Morgan Kaufmann 2000