Abstract
A novel and fast traffic sign detection method is proposed based on color-specific quaternion Gabor filtering (CS-QGF). The proposed method is based on the fact that traffic signs are usually specialized in color and shape. Accordingly, we apply a quaternion Gabor transformation to extract the color and shape features of traffic signs simultaneously. Statistical color distribution of traffic sign is analyzed to optimize the construction of quaternion Gabor filters. The feature extracted via CS-QGF is robust to the distortion of color, the change of image resolution, and the change of lighting and shading conditions, which helps the following traffic sign detector reduce the search range of proposal regions. Experiments on GTSDB and TT100K datasets demonstrate that the proposed method helps to localize traffic signs in images with high efficiency, which outperforms state-of-the-art methods on both detection speed and final recognition accuracy.
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Acknowledgements
This work was supported in part by National Natural Science Foundation of China 61671298, STCSM (17511105401,18DZ2270700) and 111 project B07022.
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Yin, S., Xu, Y. (2020). Fast Traffic Sign Detection Using Color-Specific Quaternion Gabor Filters. In: Zhai, G., Zhou, J., Yang, H., An, P., Yang, X. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2019. Communications in Computer and Information Science, vol 1181. Springer, Singapore. https://doi.org/10.1007/978-981-15-3341-9_1
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DOI: https://doi.org/10.1007/978-981-15-3341-9_1
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