Abstract
The system described in this chapter is a traffic sign recognition based on a color camera. Each algorithm step will be detailed: a color segmentation to identify the possible regions of interest, a shape detection, and the final sign classification and tracking. A description of the encountered problems and their solutions is given as well. The last section presents the algorithm results.
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References
Aoyagi Y, Asakura T (1996) A study on traffic sign recognition in scene image using genetic algorithms and neural networks. In: Proceedings of the IEEE 22nd international conference on industrial electronics, control, and instrumentation, vol 3, Denver, pp 1838–1843, Aug 1996
Barnes N, Zelinsky A (2004) Real-time radial symmetry for speed sign detection. In: Proceedings of the IEEE intelligent vehicles symposium, 2004, San Diego, pp 566–571
Broggi A, Cerri P, Medici P, Porta PP, Ghisio G (2007) Real time road signs recognition. In: Proceedings of the IEEE intelligent vehicles symposium, Istanbul, Turkey, pp 981–986, June 2007
Buluswar SD (2002) Color-based models for outdoor machine vision. Ph.D. dissertation, University of Massachusetts Amherst, 2002
de la Escalera A, Moreno LE, Puente EA, Salichs MA (1994) Neural traffic sign recognition for autonomous vehicles. In: Proceedingsof the IEEE 20th international conference on industrial electronics, control and instrumentation, vol 2, Bologna, pp 841–846, Sept 1994
de la Escalera A, Moreno LE, Salichs MA, Armignol JM (1997) Road traffic sign detection and classification. IEEE Trans Ind Electron 44:848–859
de la Escalera A, Armingol JM, Salichs M (2001) Traffic sign detection for driver support systems. In: 3 rd international conference on field and service robotics, Espoo, Finlandia, June 2001
de la Escalera A, Armignol JM, Mata M (2003) Traffic sign recognition and analysis for intelligent vehicles. Image Vis Comput 21(3):247–258
de la Escalera A, Armingol J, Pastor J, Rodriguez F (2004) Visual sign information extraction and identification by deformable models for intelligent vehicles. IEEE Trans Intell Transport Syst 5(2):57–68
Gao X, Shevtsova N, Hong K, Batty S, Podladchikova L, Golovan A, Shaposhnikov D, Gusakova V (2002) Vision models based identification of traffic signs. In: Proceedings of European conference on color in graphics image and vision, Poitiers, France, pp 47–51, Apr 2002
Gavrila D (1999) Traffic sign recognition revisited. In: Mustererkennung 1999, DAGM-symposium. Springer, London, UK, pp 86–93
Gil-Jimenez P, Gomez-Moreno H, Siegmann P, Lafuente-Arroyo S, Maldonado-Bascon S (2007) Traffic sign shape classification based on support vector machines and the FFT of the signature of blobs. In: IEEE intelligent vehicles symposium, 2007 İstanbul, pp 375–380, 13–15 June 2007
Hoessler H, Wöhler C, Lindner F, Kreßel U (2007) Classifier training based on synthetically generated samples. In: Proceedings of the 5th international confrence on computer vision systems, Bielefeld, Germany, Mar 2007
Jeun-Haii F, Gang L (1994) A vision-aided vehicle driving system: establishment of a sign finder system. In: Proceedings of the IEEE conference on vehicle navigation and information systems, 1994, Yokohama, pp 33–38, Aug–Sept 1994
Jiang G-Y, Choi TY (1998) Robust detection of landmarks in color image based on fuzzy set theory. In: Proceedings of the IEEE 4th international conference on signal processing, vol 2, Beijing, China, pp 968–971, Oct 1998
Lafuente-Arroyo S, Gil-Jimenez P, Maldonado-Bascon R, Lopez-Ferreras F, Maldonado-Bascon S (2005) Traffic sign shape classification evaluation i: Svm using distanceto borders. In: Proceedings of the IEEE international conference on intelligent vehicles symposium, 2005, Las Vegas, pp 557–562, 6–8 June 2005
Loy G, Barnes N (2004) Fast shape-based road signs detection for a driver assistance system. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems, Sendai, Japan, pp 70–75, Sept 2004
Maldonado-Bascon S, Lafuente-Arroyo S, Gil-Jimenez P, Gomez-Moreno H, Lopez-Ferreras F (2007) Road-sign detection and recognition based on support vector machines. IEEE Trans Intell Transport Syst 8(2):264–278
Nguwi Y, Kouzani A (2006) A study on automatic recognition of road signs. In: Proceedings of the IEEE conference on cybernetics and intelligent systems, Bangkok, Thailand, pp 1–6, June 2006
Shadeed WG, Abu-Al-Nadi DI, Mismar MJ (2003) Road traffic sign detection in color images. In: Proceedings of the IEEE 10th international conference on electronics, circuits and systems, 2003, vol 2, Sharjah, pp 890–893, Dec 2003
Soetedjo A, Yamada K (2005) Fast and robust traffic sign detection. In: Proceedings of IEEE international conference on systems, man and cybernetics 2005, vol 2, Istanbul, pp 1341–1346, Oct 2005
Vitabile S, Pollaccia G, Pilato G (2001) Road signs recognition using a dynamic pixel aggregation technique in the HSV color space. In: proceedings of international conference on image analysis and processing, Palermo, Italy, pp 572–577, Sept 2001
Zheng Y-J, Ritter W, Janssen R (1994) An adaptive system for traffic sign recognition. In: Proceedings of the intelligent vehicles 1994 symposium, Paris, pp 165–170, Oct 1994
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Porta, P.P. (2012). Perception Tasks: Traffic Sign Recognition. In: Eskandarian, A. (eds) Handbook of Intelligent Vehicles. Springer, London. https://doi.org/10.1007/978-0-85729-085-4_42
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DOI: https://doi.org/10.1007/978-0-85729-085-4_42
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