1. Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 A Study on Automatic Recognition of Road Signs Presenter : You Lin Chen Authors : Y.-Y. Nguwi and A.Z. Kouzani 2001.IVC.11

2. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 2 Outline Motivation Objective Methodology Experiments Conclusion Comments

3. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Motivation A driver may not however notice road signs under adverse road condition. Failure to notice, or disregard of road signs may directly or indirectly contribute to some road accidents 3

4. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Objectives This paper classifies the methods applied to road sign recognition. Recognition problem are reviewed, and a comparison of the features of these methods is given. 4

5. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology COLOUR-BASED APPROACHES  Colour Thresholding Segmentation  HIS/HSV Transformation （ H ）是色彩、（ S ）飽和度、（ V ）明度  Region Growing  Transformation Based on CIE CAM97 Model hue 色彩, chroma 色度, and lightness 明亮度  Colour Indexing 5

6. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology SHAPE-BASED APPROACHES  Hierarchical Spatial Feature Matching (HSFM)  Hough Transform  Template Matching  Similarity Detection 6

7. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology Decision Tree Space Variant Sensor Window Genetic Algorithm Nearest Neighbour Classification Neural Networks 7

8. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology 8

9. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Methodology 9

10. Intelligent Database Systems Lab N.Y.U.S.T. I. M. Conclusion Comparing to colour-based recognition, shape-based recognition faces more limitations. However, the faded colour on road sign can be compensated through the use of shape-based. 10

11. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 11 Comments Advantage  … Drawback  Contribution is poor. Application  Image processing