Traffic sign shape classification based on correlation techniques
作者： S. Lafuente-Arroyo , S. Maldonado-Bascón , F. J. Acevedo-Rodríguez , A. Vázquez-Reina , P. Siegmann
DOI:
关键词:
摘要: In this paper we present a correlation-based matching method for traffic sign shape classification. Our purpose is to offer robust and reliable framework which can be used in numerous applications like driver assistance systems. The classification scale, translation rotation invariant. process involves obtaining essential features (e.g. edges, ridges, corners) from each area, comparing it the stored templates of known patterns. algorithm very flexible, easy reconfigure many different shapes results obtained show success rate.
参考文章(13)
Alessandra Fascioli, Massimo Bertozzi, Gianni Conte, Alberto Broggi, Automatic Vehicle Guidance: the Experience of the ARGO Autonomous Vehicle ,(1999)
D. Ghica, Si Wei Lu, Xiaobu Yuan, Recognition of traffic signs by artificial neural network international conference on networks. ,vol. 3, pp. 1444- 1449 ,(1995) , 10.1109/ICNN.1995.487372
Gang Yi Jiang, Tae Young Choi, Yi Zheng, Morphological traffic sign recognitions international conference on signal processing. ,vol. 1, pp. 531- 534 ,(1996) , 10.1109/ICSIGP.1996.567319
C.Y. Fang, C.S. Fuh, P.S. Yen, S. Cherng, S.W. Chen, An automatic road sign recognition system based on a computational model of human recognition processing Computer Vision and Image Understanding. ,vol. 96, pp. 237- 268 ,(2004) , 10.1016/J.CVIU.2004.02.007
Wei Li, Xiaojia Jiang, Yangxing Wang, Road recognition for vision navigation of an autonomous vehicle by fuzzy reasoning Fuzzy Sets and Systems. ,vol. 93, pp. 275- 280 ,(1998) , 10.1016/S0165-0114(96)00211-4
U. Franke, D. Gavrila, S. Gorzig, F. Lindner, F. Puetzold, C. Wohler, Autonomous driving goes downtown IEEE Intelligent Systems & Their Applications. ,vol. 13, pp. 40- 48 ,(1998) , 10.1109/5254.736001
F. Paetzold, S. Görzig, D. Gavrila, F. Lindner, U. Franke, C. Wöhler, Autonomous Driving approaches Downtown ,(1999)
Si Wei Lu, Recognition of traffic signs using a multilayer neural network canadian conference on electrical and computer engineering. pp. 833- 834 ,(1994) , 10.1109/CCECE.1994.405880
Han Liu, Ding Liu, Jing Xin, Real-time recognition of road traffic sign in motion image based on genetic algorithm international conference on machine learning and cybernetics. ,vol. 1, pp. 83- 86 ,(2002) , 10.1109/ICMLC.2002.1176714
U Handmann, T Kalinke, C Tzomakas, M Werner, W.v Seelen, AN IMAGE PROCESSING SYSTEM FOR DRIVER ASSISTANCE Image and Vision Computing. ,vol. 18, pp. 367- 376 ,(2000) , 10.1016/S0262-8856(99)00032-3