Abstract
Many scientific methods of traffic signs recognition involving digital image analysis have been proposed. Most of them are appearance-based approaches, employing template matching. In most cases they work on color images (or videos) and deal with all types of signs, regarding their shape and color. On the other hand, commercial systems, installed in higher-class cars, detect only the round speed limit signs and overtaking restrictions found all across Europe. The main disadvantage of visual recognition of traffic signs is associated with difficult conditions of image acquisition and hence problems with noise, blurring, scale and orientation changes should be solved. In the paper we present a classification of signs visual recognition methods and discuss their advantages and disadvantages. We compare them with an RFID approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Eichner, M.L., Breckon, T.P.: Integrated Speed Limit Detection and Recognition from Real-Time Video. In: Proc. IEEE Intelligent Vehicles Symposium, pp. 626–631. IEEE (2008)
Bahlmann, C., Zhu, Y., Ramesh, V., Pellkofer, M., Koehler, T.: A system for traffic sign detection, tracking, and recognition using color, shape, and motion information. In: Proceedings of the Intelligent Vehicles Symposium, pp. 255–260. IEEE (2005)
Kardkovacs, Z.T., Paroczi, Z., Varga, E., Siegler, A., Lucz, P.: Real-time traffic sign recognition system. In: 2011 2nd International Conference on Cognitive Infocommunications (CogInfoCom), pp. 1–5 (2011)
Hazelho, L., Ivo Creusen, I., van de Wouw, D., de With, P.H.N.: Large-scale classification of traffic signs under real-world conditions. In: Proc. SPIE 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI (2012)
Kus, M.C., Gokmen, M., Etaner-Uyar, S.: Traffic sign recognition using Scale Invariant Feature Transform and color classification. In: 23rd International Symposium on Computer and Information Sciences, ISCIS 2008, pp. 1–6 (2008)
Escalera, S., Baro, X., Pujol, O., Vitria, J., Radeva, P.: Traffic-Sign Recognition Systems. Springer Briefs in Computer Science. Springer, London (2011)
Mogelmose, A., Trivedi, M.M., Moeslund, T.B.: Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey. IEEE Transactions on Intelligent Transportation Systems 13(4), 1484–1497 (2012)
Zakir, U., Zafar, I., Edirisinghe, A.E.: Road Sign Detection and Recognition by using Local Energy Based Shape Histogram (LESH). International Journal of Image Processing 4(6), 566–582 (2011)
Ihara, A., Fujiyoshi, H., Takagi, M., Kumon, H., Tamatsu, Y.: Improved Matching Accuracy in Traffic Sign Recognition by Using Different Feature Subspaces. In: Machine Vision Applications 2009 (MVA 2009), vol. 3-26, pp. 130–133 (2009)
Yang, H., Liu, C., Liu, K., Huang, S.: Traffic Sign Recognition in disturbing Environments. In: Proc. of the 14 th Intl. Symp. on Methodologies for Intelligent Systems, pp. 28–31 (2003)
Fleyeh, H., Davami, E.: Eigen-based traffic sign recognition. Intelligent Transport Systems, IET 5(3), 190–196 (2011)
Johansson, G., Rumar, K.: Drivers and road signs: A preliminary investigation of the capacity of car drivers to get information from road signs. Ergonomics 9(1), 57–62 (1966)
Shepard, S.: RFID Radio Frequency Identification. McGraw-Hill Comp. Inc., USA (2005)
Bhuptani, M., Moradpour, S.: RFID Field Guide: Deploying Radio Frequency Identification Systems (2005)
Brown, D.: RFID Implementation. Book (2006)
Fuchs, S., Rass, S., Lamprecht, B., Kyamakya, K.: Context-Awareness and Collaborative Driving for Intelligent Vehicles and Smart Roads. In: 1st Int. Workshop on ITS for an Ubiquitous ROADS, pp. 1–6 (2007)
Al-Khateeb, K.A.S., Johari, J.A.Y., Al-Khateeb, W.F.: Dynamic Traffic Light Sequence Algorithm using RFID. Journal of Computer Science 4(7), 517–524 (2008)
Harmida, A.: In-Vehicle Signing System Using RFID, Project Report, UTeM, Malaysia (2011), http://library.utem.edu.my:8000/elmu/index.jsp?mod... (date of access: July 29, 2013)
Sato, Y., Makane, K.: Development and Evaluation of In-Vechicle Signing System Utilizing RFID Tags as Digital Traffic Signals. Int. J. ITS Res. 4, 53–58 (2006)
Hasan, Z., Morteza, T., Kianoush, S., Pegah, A.: Usage of ITS in the In-vehicle Signing System With RFID tags and Vehicle Routing and Road Traffic Simulation. In: Proc. of the 11th Int. IEEE Conf. on Intelligent Transportation Systems, Beijing, China, pp. 408–413 (2008)
Pérez, J., et al.: An RFID-based intelligent vehicle speed controller using active traffic signals. Sensors 10(6), 5872–5887 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Forczmański, P., Małecki, K. (2013). Selected Aspects of Traffic Signs Recognition: Visual versus RFID Approach. In: Mikulski, J. (eds) Activities of Transport Telematics. TST 2013. Communications in Computer and Information Science, vol 395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41647-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-41647-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41646-0
Online ISBN: 978-3-642-41647-7
eBook Packages: Computer ScienceComputer Science (R0)