LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Publisher: Hindawi Publishing Corporation
Journal: EURASIP Journal on Image and Video Processing
Languages: English
Types: Article
Subjects: TA1501-1820, T, Engineering (General). Civil engineering (General), TA1-2040, Technology, TK7800-8360, DOAJ:General and Civil Engineering, DOAJ:Technology and Engineering, Electronics, Applied optics. Photonics

Abstract

This paper presents a new approach to segment traffic signs from the rest of a scene via CIECAM, a colour appearance model. This approach not only takes CIECAM into practical application for the first time since it was standardised in 1998, but also introduces a new way of segmenting traffic signs in order to improve the accuracy of colour-based approach. Comparison with the other CIE spaces, including CIELUV and CIELAB, and RGB colour space is also carried out. The results show that CIECAM performs better than the other three spaces with 94%, 90%, and 85% accurate rates for sunny, cloudy, and rainy days, respectively. The results also confirm that CIECAM does predict the colour appearance similar to average observers.

  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] M. Lalonde and Y. Li, “Road sign recognition-survey of the state of art,” Tech. Rep. CRIM-IIT-95/09-35, Centre de Recherche Informatique de Montreal, Montre´al, QC, Canada, 1995.
    • [2] W. G. Shadeed, D. I. Abu-Al-Nadi, and M. J. Mismar, “Road traffic sign detection in color images,” in Proceedings of the 10th IEEE International Conference on Electronics, Circuits and Systems (ICECS '03), vol. 2, pp. 890-893, Sharjah, United Arab Emirates, December 2003.
    • [3] D. Judd, D. MacAdam, and G. Wyszecki, “Spectral distribution of typical daylight as a function of correlated color temperature,” Journal of the Optical Society of America, vol. 54, no. 8, pp. 1031-1040, 1964.
    • [4] “International Committee on Illumination/Commission Internationale de l'Eclairage,” Recommendations for Surface Colours for Visual Signalling, CIE No. 39-2 (TC-1.6) ed., 1983.
    • [5] R. C. Moeur, “The manual of traffic signs,” 2003, http://members.aol.com/rcmoeur.
    • [6] S. Tominaga, “Color image segmentation using three perceptual attributes,” in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '86), pp. 628-630, Miami Beach, Fla, USA, June 1986.
    • [7] R. Ohlander, K. Price, and D. R. Reddy, “Picture segmentation using a recursive region splitting method,” Computer Graphics and Image Processing, vol. 8, pp. 313-333, 1978.
    • [8] N. Kehtarnavaz, N. C. Griswold, and D. S. Kang, “Stop-sign recognition based on color/shape processing,” Machine Vision and Applications, vol. 6, no. 4, pp. 206-208, 1993.
    • [9] D. L. Kellmeyer and H. T. Zwahlen, “Detection of highway warning signs in natural video images using color image processing and neural networks,” in Proceedings of IEEE International Conference on Neural Networks (ICNN '94), vol. 7, pp. 4226-4231, Orlando, Fla, USA, June-July 1994.
    • [10] G. Nicchiotti, E. Ottaviani, P. Castello, and G. Piccioli, “Automatic road sign detection and classification from color image sequences,” in Proceedings of the 7th International Conference on Image Analysis and Processing (ICIP '94), pp. 623-626, Austin, Tex, USA, November 1994.
    • [11] P. Pacl´ık, J. Novovicˇova´, P. Pudil, and P. Somol, “Road sign classification using Laplace kernel classifier,” Pattern Recognition Letters, vol. 21, no. 13-14, pp. 1165-1173, 2000.
    • [12] M. M. Zadeh, T. Kasvand, and C. Y. Suen, “Localization and recognition of traffic signs for automated vehicle control systems,” in International Conference on Intelligent Transportation Systems, part of SPIE's Intelligent Systems & Automated Manufacturing, Pittsburgh, Pa, USA, October 1997.
    • [13] L. Priese, J. Klieber, R. Lakmann, V. Rehrmann, and R. Schian, “New results on traffic sign recognition,” in Proceedings of the Intelligent Vehicles Symposium, pp. 249-254, Paris, France, October 1994.
    • [14] H.-M. Yang, C.-L. Liu, K.-H. Liu, and S.-M. Huang, “Traffic sign recognition in disturbing environments,” in Proceedings of the 14th International Symposium on Methodologies for Intelligent Systems (ISMIS '03), vol. 2871 of Lecture Notes in Computer Science, pp. 252-261, Maebashi City, Japan, October 2003.
    • [15] J. Miura, T. Kanda, S. Nakatani, and Y. Shirai, “An active vision system for on-line traffic sign recognition,” IEICE Transactions on Information and Systems, vol. E85-D, no. 11, pp. 1784-1792, 2002.
    • [16] A. de la Escalera, J. M. Armingol, J. M. Pastor, and F. J. Rodr´ıguez, “Visual sign information extraction and identification by deformable models for intelligent vehicles,” IEEE Transactions on Intelligent Transportation Systems, vol. 5, no. 2, pp. 57-68, 2004.
    • [17] C.-Y. Fang, S.-W. Chen, and C.-S. Fuh, “Road-sign detection and tracking,” IEEE Transactions on Vehicular Technology, vol. 52, no. 5, pp. 1329-1341, 2003.
    • [18] M. R. Luo and R. W. G. Hunt, “The structure of the CIE 1997 colour appearance model (CIECAM97s),” Color Research & Application, vol. 23, no. 3, pp. 138-146, 1998.
    • [19] CIE, “The CIE 1997 Interim Colour Appearance Model (Simple Version),” CIECAM97s, CIE TC1-34, April 1998.
    • [20] M. R. Luo, X. W. Gao, and S. A. S. Scrivener, “Quantifying colour appearance. part V. simultaneous contrast,” Color Research & Application, vol. 20, no. 1, pp. 18-28, 1995.
    • [21] M. R. Luo, X. W. Gao, P. A. Rhodes, H. J. Xin, A. A. Clarke, and S. A. R. Scrivener, “Quantifying colour appearance. part IV. Transmissive media,” Color Research & Application, vol. 18, no. 3, pp. 191-209, 1993.
    • [22] M. R. Luo, X. W. Gao, P. A. Rhodes, H. J. Xin, A. A. Clarke, and S. A. R. Scrivener, “Quantifying colour appearance. part III. Supplementary LUTCHI colour appearance data,” Color Research & Application, vol. 18, no. 2, pp. 98-113, 1993.
    • [23] X. Wang, Modelling of colour appearance, Ph.D. thesis, Loughborough University, Leics, UK, 1994.
    • [24] P. He and X. W. Gao, “Colour reproduction for tele-imaging systems,” in Proceedings of the International Conference on Medical Imaging and Telemedicine, pp. 79-84, Wuyi Moutnain, China, August 2005.
    • [25] Driving Standards Agency, “The Highway Code,” London, England: The Stationery Office, 1999.
    • [26] M. F. Augusteijn, L. E. Clemens, and K. A. Shaw, “Performance evaluation of texture measures for ground cover identification in satellite images by means of a neural network classifier,” IEEE Transactions on Geoscience and Remote Sensing, vol. 33, no. 3, pp. 616-626, 1995.
    • [27] M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis, and Machine Vision, Thompson Computer Press, London, UK, 1996.
    • [28] D. G. Shaposhnikov, L. N. Podladchikova, and X. W. Gao, “Classification of images on the basis of the properties of informative regions,” Pattern Recognition and Image Analysis, vol. 13, no. 2, pp. 349-352, 2003.
    • [29] R. W. G. Hunt, Measuring Colour, Ellis Horwood Limited, England, UK, 2nd edition, 1992.
    • [30] L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 11, pp. 1254-1259, 1998.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article