A vehicle style recognition method using computer vision, image processing and RBF neural network is presented in the paper. First, a vehicle side image is acquired by using a high-speed vidicon. Then a vehicle edge outline image was obtained by a series of image processing and the vehicle features are extracted from the edge outline image. Finally, the vehicle is recognized and classified using a RBF neural network. Experimental results show that the proposed method has a good classification effect in the practical application of vehicle style recognition at vehicle toll stations. © 2012 Springer-Verlag GmbH.
CITATION STYLE
Zhu, Z. W., & Guo, Y. Y. (2012). Vehicle style recognition based on image processing and neural network. In Advances in Intelligent and Soft Computing (Vol. 169 AISC, pp. 1–8). https://doi.org/10.1007/978-3-642-30223-7_1
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