Abstract
In this paper, we propose a robust illumination system for speed-limit sign recognition in real-time. Real-time traffic sign detection with various illuminations is one of the challenges in a vision-based intelligent vehicle system, as illumination varies greatly in real-world road images based on factors such as driving time, weather, lighting conditions, and driving directions. Our method uses a MCT (Modified Census Transform) as an illumination-invariant method for the real-time detection of traffic signs and uses a SVM (Support Vector Machine) as a classifier for detection and validation. With the proposed method, we have obtained a very high detection rate of 99.8% and recognition rates of 98.4% on various real-world driving images.
| Original language | English |
|---|---|
| DOIs | |
| Publication status | Published - 2014 |
| Event | 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014 - Siem Reap, Cambodia Duration: 2014 Jan 9 → 2014 Jan 11 |
Other
| Other | 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014 |
|---|---|
| Country | Cambodia |
| City | Siem Reap |
| Period | 14/1/9 → 14/1/11 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
Fingerprint Dive into the research topics of 'Real-time illumination-invariant speed-limit sign recognition based on a modified census transform and Support Vector Machines'. Together they form a unique fingerprint.
Cite this
Lim, K., Lee, T., Shin, C., Chung, S., Choi, Y., & Byun, H. (2014). Real-time illumination-invariant speed-limit sign recognition based on a modified census transform and Support Vector Machines. Paper presented at 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014, Siem Reap, Cambodia. https://doi.org/10.1145/2557977.2558090