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An Optimization Approach for Localization Refinement of Candidate Traffic Signs
2017
IEEE transactions on intelligent transportation systems (Print)
We propose a localization refinement approach for candidate traffic signs. Previous traffic sign localization approaches, which place a bounding rectangle around the sign, do not always give a compact bounding box, making the subsequent classification task more difficult. We formulate localization as a segmentation problem, and incorporate prior knowledge concerning color and shape of traffic signs. To evaluate the effectiveness of our approach, we use it as an intermediate step between a
doi:10.1109/tits.2017.2665647
fatcat:c22prjfcrnhl5buwyi6egx3fwm