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- W2078368401 abstract "This paper presents a method for detecting speed sign based on color and shape features in real-time under real-life environment. In our method, Region Of Interest(ROI) is extracted and verified based on shape feature. In the first step, ROI is roughly extracted by segmentation of a red rim and the segments are optimized by the boundary using guided image filtering. Next step, the shape-based detection verifies the extracted red rim. We compare three different shape-based detection methods, RSD, BCT, and STVUE, and the RSD shows the best speed sign detection rate of 93% on the experimental data of 62 images containing 85 speed sign." @default.
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- W2078368401 date "2012-10-01" @default.
- W2078368401 modified "2023-09-26" @default.
- W2078368401 title "Color and shape feature-based detection of speed sign in real-time" @default.
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- W2078368401 doi "https://doi.org/10.1109/icsmc.2012.6377802" @default.
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