图 书 馆
基于判别局部特征的交通标志识别Traffic Sign Recognition Using Discriminative Local Features |
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| 课程网址: | http://videolectures.net/ida07_ruta_tsr/ |
| 主讲教师: | Andrzej Ruta |
| 开课单位: | 布鲁内尔大学 |
| 开课时间: | 2007-10-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Real-time road sign recognition has been of great interest for many years. This problem is often addressed in a two-stage procedure involving detection and classification. In this paper a novel approach to sign representation and classification is proposed. In many previous studies focus was put on deriving a set of discriminative features from a large amount of training data using global feature selection techniques e.g. Principal Component Analysis or AdaBoost. In our method we have chosen a simple yet robust image representation built on top of the Colour Distance Transform (CDT). Based on this representation, we introduce a feature selection algorithm which captures a variable-size set of local image regions ensuring maximum dissimilarity between each individual sign and all other signs. Experiments have shown that the discriminative local features extracted from the template sign images enable simple minimum-distance classification with error rate not exceeding 7%. |
| 关 键 词: | 实时道路标志; 图像表示; 图像区域集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-27：lxf |
| 阅读次数: | 37 |