CFP last date
20 January 2025
Reseach Article

Traffic Road Sign Detection and Recognition for Automotive Vehicles

by Md. Safaet Hossain, Zakir Hyder
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 24
Year of Publication: 2015
Authors: Md. Safaet Hossain, Zakir Hyder
10.5120/21407-4265

Md. Safaet Hossain, Zakir Hyder . Traffic Road Sign Detection and Recognition for Automotive Vehicles. International Journal of Computer Applications. 120, 24 ( June 2015), 10-15. DOI=10.5120/21407-4265

@article{ 10.5120/21407-4265,
author = { Md. Safaet Hossain, Zakir Hyder },
title = { Traffic Road Sign Detection and Recognition for Automotive Vehicles },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 24 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number24/21407-4265/ },
doi = { 10.5120/21407-4265 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:09.899919+05:30
%A Md. Safaet Hossain
%A Zakir Hyder
%T Traffic Road Sign Detection and Recognition for Automotive Vehicles
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 24
%P 10-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traffic road sign detection and recognition is important to transport system with a robotic eyes or camera while driving in the road. This paper presents and overview the traffic road sign detection and recognition, we developed and implemented the procedure to extract the road sign from a natural complex image. The main objective of this paper is to design and construct a computer based system which can automatically detect the direction of the road sign. This paper is based upon a major approach to detect the direction. In this paper, we will demonstrate the basic idea of how detect the area and extract it. This system will play an important role for the detection purpose of specific domains like island, schools, traffic sign, universities, hospitals, offices etc.

References
  1. Sergio Escalera and Petia Radeva Centre de Visió per ComputadorEdifici O – Campus UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain {sescalera,petia}@cvc. uab. es.
  2. D. Kellmeyer and H. Zwahlen. "Detection of highway warning signs in natural video images using color image processing and neural networks. " In IEEE Proc. Int. Conf. Neural Networks 1994, volume 7, pages 4226–4231, 1994.
  3. M. de Saint Blancard. "Road sign recognition: A study of vision-based decision making for road environment recognition. " In Vision-based Vehicle Guidance, Springer Series in Perception Engineering. Springer-Verlag, 1992.
  4. Arturo de la Escalera, Luis E. Moreno, Miguel Ángel Salichs and José María Armingol "Road Traffic Signs Detection and Classification," CICYT Project TAP94-0711-C03-02, jul. 1996.
  5. R. Ghica, S. Lu, and X. Yuan. "Recognition of traffic signs using a multilayer neural network," In Proc. Can Conf. on Electrical and Computer Engineering, 1994.
  6. A. de la Escalera, J. Mª Armingol, M. A. Salich, "TRAFFIC SIGN DETECTION FOR DRIVER SUPPORT SYSTEMS," Systems Enginnering and Automation Division, Universidad Carlos III de Madrid, Leganés, Madrid, Spain.
  7. G. Piccioli, E. D. Michelli, and M. Campani. "A robust method for road sign detection and recognition. " In Proc. European Conference on Computer Vision 1994, pages 495–500, 1994.
  8. G. Piccioli, E. D. Michelli, P. Parodi, and M. Campani. "Robust road sign detection and recognition from image sequences. " In Proc. Intelligent Vehicles'94, pages 278–283, 1994.
  9. Yoav Freund and Robert E. Schapire. "A decision-theoretic generalization online learning and an application to boosting," Computational Learning Theory: Eurocolt '95, pages 23-37. Springer-Verlag, 1995.
  10. Paul Viola and Michael J. Jones, "Robust Real-time Object Detection," Cambridge Research Laboratory, Technical Report Series, CRL 2001/01. Feb. 2001.
  11. Jordi Vitrià and Xavier Baró, "Traffic Sign Detection on Greyscale image," Computer Center Vision, Spain.
  12. Arturo de la Escalera, Member, IEEE, Luis E. Moreno, Member, IEEE,Miguel Angel Salichs, Member, IEEE, and Jos´e Mar´i a Armingol
  13. Andrew Ditzgibbon, Maurizio Pilu, and Robert B. Fisher, "Direct Least Square Fitting of Ellipses," Tern Analysis and Machine Intelligence, vol. 21, no. 5, may. 1999.
  14. R. Brunelli and T. Poggio, "Face Recognition: Features vs. Templates," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 10, pp. 1,042- 1,053, oct. 1993.
  15. Peter N. Belhumeur, Joao P. Hespanha, and David J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition Using Specific Linear Projection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, jul. 1997.
  16. Gareth Loy and Alexander Zelinsky, "Fast Radial Symmetry for Detecting Points of Interest," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 8, Aug. 2003.
  17. L. Dreschler and H. Nagel, "Volumetric model and 3-D trajectory of a moving car derived from monocular TV-frame sequence of a streetscene," in Proc. IJCAI, 1981, pp. 692–697.
  18. M. Shah and R. Jain, "Detecting time-varying corners," Comput. Vision, Graph. , Image Processing, vol. 28, no. 3, pp. 345–355, Dec. 1984.
  19. L. Kitchen and A. Rosenfeld, "Gray-level corner detection," Pattern Recognit. Lett. , vol. 1, pp. 95–102, 1982.
  20. O. A. Zuniga and R. Haralik, "Corner detection using the facet model," in Proc. IEEE CVPR Conf. , 1983, pp. 30–37.
  21. K. Rangarajan, M. Shah, and D. Van Brackle, "Optimal corner detector," Comput. Vision, Graph. , Image Processing, vol. 48, no. 2, pp. 230–245,Nov. 1989.
  22. A. de la Escalera, J. Mª Armingol, M. A. Salichs Systems Enginnering and Automation Division, Universidad Carlos III de Madrid, Leganés, Madrid, Spain. Phone: +916249430, Fax: +916249431, E-mail: escalera@ing. uc3m. es
  23. A. de la Escalera, J. Mª Armingol, M. A. Salichs Systems Enginnering and Automation Division, Universidad Carlos III de Madrid, Leganés, Madrid, Spain. Phone: +916249430, Fax: +916249431, E-mail: escalera@ing. uc3m. es
  24. David G. Lowe, ìObject Recognition from Local Scale Invariant Featuresî, ICCV 1999, pp. 1150- 1157, 1999.
  25. J. Torresen, J. W. Bakke, and L. Sekania. Efficient recognition of speed limit signs. In Proc. IEEE Conf. on Intelligent Transportation Systems (ITS), Washington, DC, 2004.
  26. P. Viola and M. J. Jones. Robust real-time object detection. Technical Report CRL 2001/01, Cambridge Research Laboratory, 2001.
  27. B. Xie, D. Comaniciu, V. Ramesh, T. Boult, and M. Simon. Component fusion for face detection in the presence of heteroscedastic noise. In 25th Pattern Recognition Springer Verlag.
  28. M. M. Zadeh, T. Kasvand, and C. Y. Suen. Localization and recognition of traffic signs for automated vehicle control systems. In Proc. SPIE Vol. 3207, Intelligent Transportation Systems, pages 272–282, 1998.
  29. Y. Zhu, D. Comaniciu, M. Pellkofer, and T. Koehler. An integrated framework of vision-based vehicle detection with knowledge fusion. In IEEE Intelligent Vehicles Symposium (IV), Las Vegas, NV, 2005.
  30. M. de Saint Blancard. "Road sign recognition: A study of vision-based decision making for road environment recognition. " In Vision-based Vehicle Guidance, Springer Series in Perception Engineering. Springer-Verlag, 1992.
Index Terms

Computer Science
Information Sciences

Keywords

Web based applicatoin testing performance testing functional testing test methods integration e-commece.