Robust traffic sign shape recognition using geometric matching
Robust traffic sign shape recognition using geometric matching
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DOI：
10.1049/iet-its:20070058
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发表时间：
2009-01
影响因子：
2.7
通讯作者：
S. Xu
中科院分区：
文献类型：
--
作者：
S. Xu
提出了一种在室外环境中识别各种交通标志形状的新方法。为了减少数字噪声的影响，提取单个交通标志的形状，基于颜色信息分割出的交通标志外边界通过离散曲线演化进行简化和分解，其停止阶段由切空间中的弧相似性度量确定.通过与模板的直接匹配来实现对封闭候选形状的识别。生成最佳包围体以最小化检索到的未闭合候选形状与模板之间的几何差异。实验结果表明，该算法具有平移、旋转和尺度不变性，在复杂交通场景中能够有效地进行聚类和部分遮挡的形状识别。
A novel approach for recognising various traffic sign shapes in outdoor environments is presented. To reduce the influence of digital noise and extract the shape of each individual traffic sign, the external boundaries of traffic signs segmented based on colour information are simplified and decomposed through discrete curve evolution whose stop stage is determined by an arc similarity measure in tangent space. The recognition of a closed candidate shape is achieved through the direct matching with templates. An optimal enclosure is generated to minimise the geometric differences between the retrieved unclosed candidate shape and templates. The experimental results justify that the proposed algorithm is translation, rotation and scaling invariant, and gives reliable shape recognition in complex traffic scenes where clustering and partial occlusion normally occur.