Abstract
The paper presents a safety and comfort driving assistance system to help driver in analyzing the road sign boards. The system assists the drivers by detecting and recognizing the sign boards along roadside from a moving vehicle. Signboards are detected using color and shape detection techniques, and they are recognized by matching the extracted scale invariant features with the features in the database. The proposed method based on SIFT feature detects 90 % of road sign boards accurately. Experimental analysis carried out using C/C++ and Open CV Libraries shows better performance in detecting and recognizing sign boards when real-time video frames are given as input.
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Bibliography
Zhihui Z, Hanxizi Z, Bo W, Zhifeng G (2012) Robust traffic sign recognition and tracking for advanced driver assistance systems. In: Proceedings of the 15th international IEEE conference on intelligent transportation systems, Anchorage, Alaska, USA, 16–19 Sept 2012
Broggi A, Cerri P, Medici P, Porta PP, Ghisio G (2007) Real time road signs recognition. In: proceedings of IEEE intelligent vehicles symposium, Istanbul, pp 981–986
Adam A, Ioannidis C (2014) Automatic road-sign detection and classification based on support vector machines and hog descriptors. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, vol II-5
Fleyeh H, Dougherty M (2005) Road and traffic sign detection and recognition. Advanced OR and AI methods in transportation
Dean HN, Jabir KVT (2013) Real time detection and recognition of indian traffic signs using Matlab. Int J Sci Eng Res 4(5)
Piccioli G, De Michelib E, Parodi P, Campani M (1996) Robust method for road sign detection and recognition. Image Vis Comput 14:209–223
Fang C, Chen S, Fuh C (2003) Road-sign detection and tracking. IEEE Trans Veh Technol 52:1329–1341
de la Escalera A, Armingol J, Mata M (2003) Traffic sign recognition and analysis for intelligent vehicles. Image Vision Comput 21:247–258
Vitabile S, Gentile A, Sorbello F (2002) A neural network based automatic road sign recognizer. In: International joint conference on neural networks, Honolulu, HI, USA
Miura J, Kanda T, Shirai Y (200) An active vision system for real-time traffic sign recognition. In: ieee intelligent transportation systems, Dearborn, MI, USA
Douville P (2000) Real-time classification of traffic signs, real-time imaging. 6(3):185–193
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Sathish, P., Bharathi, D. (2016). Automatic Road Sign Detection and Recognition Based on SIFT Feature Matching Algorithm. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2674-1_39
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DOI: https://doi.org/10.1007/978-81-322-2674-1_39
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