Vehicle logo recognition using multi-level fusion model

Wei Ming; Jianli Xiao

doi:10.1117/12.2303590

10 April 2018 Vehicle logo recognition using multi-level fusion model

Wei Ming, Jianli Xiao

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061513 (2018) https://doi.org/10.1117/12.2303590
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

Vehicle logo recognition plays an important role in manufacturer identification and vehicle recognition. This paper proposes a new vehicle logo recognition algorithm. It has a hierarchical framework, which consists of two fusion levels. At the first level, a feature fusion model is employed to map the original features to a higher dimension feature space. In this space, the vehicle logos become more recognizable. At the second level, a weighted voting strategy is proposed to promote the accuracy and the robustness of the recognition results. To evaluate the performance of the proposed algorithm, extensive experiments are performed, which demonstrate that the proposed algorithm can achieve high recognition accuracy and work robustly.

Citation Download Citation

Wei Ming and Jianli Xiao "Vehicle logo recognition using multi-level fusion model", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061513 (10 April 2018); https://doi.org/10.1117/12.2303590

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