Extraction and Recognition of Speed Limit Signs in Night-scene Videos

  • Yoichi Kageyama Akita University
  • Kazuto Suzuki Akita University
  • Chikako Ishizawa Akita University
  • Takuya Suzuki Akita University

Abstract

Road signs provide important information that guide and regulate the behavior of drivers and pedestrians to make their travel safer and more comfortable. However, failure to recognize road signs compromises their safety. The rate of accidental death due to speed limit violation is extremely high at night. To address this problem, automatic video extraction and recognition of road signs can be utilized to contribute to a reduction in traffic accidents. In this paper, we propose an extraction method focusing on the outlines of signs, and a recognition method focusing on the numerical symbols on signs in a night-scene video.

Author Biography

Yoichi Kageyama, Akita University
Human-Centered Computing Course, Graduate School of Engineering Science

References

S. M. Bascon, S. L. Arroyo, P. G. Jimenez, H. G. Moreno and F. L. Ferreras, “Road-Sign Detection and Recognition Based on Support Vector Machines”, IEEE Trans. Intelligent Transportation Systems, Vol.8, No.2, pp.264-278, 2007.

A. Ellahyani, M. E. Ansari and I. El Jaafari, “Traffic sign detection and recognition based on random forests, Applied Soft Computing”, Vol.46, pp.805-815, 2016.

M.TakakiandH.Fujiyoshi,“TrafficSignRecognitionUsing SIFT Features”, IEEJ Trans. EIS, Vol. 129, No. 5, pp.824 - 831, 2009.

H. Ohara, A. Kanagawa and H. Takahashi, “Classification of Road Signs Using Layered Neural Networks Based on Shape Feature and Color Information”, J. of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.19, No.4, pp.370-377, 2007.

H. H. Aghdam, E. J. Heravi and D. Puig, “A practical approach for detection and classification of traffic signs using Convolutional Neural Networks”, Robotics and Autonomous Systems, Vol.84, pp.97-112, 2016.

KT. Islam, RG. Raj, “Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network”, Sensors, Vol.17, No.4, pii:E853. DOI: 10.3390/s17040853 (2017)

Y. Kageyama, S. Asano and M. Nishida, “Estimation of Internal Area in the Circular Road Signs from Color Scene Image”, IEEJ Trans. EIS, Vol.124, No.2, pp.578-579, 2004.

Y. Kageyama, M. Nishida and K. Myochin, “Method for Recognizing Circular Road Signs using an Analysis Method of Color Scene Images”, J. the Institute of Image Information and Television Engineers, Vol.61, No.7, pp.972-978, 2007.

Y. Kageyama, A. Takano and M. Nishida, “Method for Extracting Circular Road Signs on the Basis of Scene Image Features”, IEEJ Trans. EIS, Vol.130, No.10, pp.1865-1872, 2010.

National Police Agency, Portal Site of Official Statistics of Japan, http://www.e- stat.go.jp (Accessed 20 February, 2017)

Y. Kageyama, H. Kameya, M. Nishida, and C. Ishizawa, “Recognition of Speed Limit Signs, in Night Scene Images in Japan”, IEEJ Transactions on Electrical and Electronic Engineering, Vol.8, No.S1, pp.88-94, 2013.

M. Takagi, and H. Shimoda, “Handbook of Image Analysis (Revised Edition)”, University of Tokyo Press, Tokyo, Japan, 2004.

MinistryofLand,Infrastructure,TransportandTourismWeb Page, http://www.mlit.go.jp/en/index.html (Accessed 20 February, 2017)

Published
2018-01-25
How to Cite
Kageyama, Y., Suzuki, K., Ishizawa, C., & Suzuki, T. (2018). Extraction and Recognition of Speed Limit Signs in Night-scene Videos. Journal of the Institute of Industrial Applications Engineers, 6(1), 29. https://doi.org/10.12792/jiiae.6.29
Section
Articles