Abstract
Traffic sign recognition contributes to the safety of drivers and people around the car. The system analyzes the road ahead images taken by on-vehicle camera, but blurred and distorted images make it difficult to recognize correct traffic sign. In this paper, we propose a method that deforms from ellipses to perfect circles and applies template matching with distorted sign templates.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 416-418 |
| Number of pages | 3 |
| ISBN (Print) | 9781479951451 |
| DOIs | |
| Publication status | Published - 2014 Feb 3 |
| Event | 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 - Tokyo, Japan Duration: 2014 Oct 7 → 2014 Oct 10 |
Other
| Other | 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 |
|---|---|
| Country/Territory | Japan |
| City | Tokyo |
| Period | 14/10/7 → 14/10/10 |
Keywords
- SIFT features
- template matching
- traffic sign recognition
ASJC Scopus subject areas
- Electrical and Electronic Engineering