TY - GEN
T1 - Robust traffic sign recognition and tracking for Advanced Driver Assistance Systems
AU - Zheng, Zhihui
AU - Zhang, Hanxizi
AU - Wang, Bo
AU - Gao, Zhifeng
PY - 2012
Y1 - 2012
N2 - In this paper we propose a traffic sign recognition system using an on-board single camera for Advanced Driver Assistance Systems (ADAS), including detection, recognition and tracking. We combine RGB ratios based color segmentation with automatic white balance preprocessing and Douglas-Peucker shape detection to establish ROIs. Scale and rotation invariant BRISK features are applied for recognition, matching the features of the candidates to those of template images that exist in database. Tracking-Learning-Detection (TLD) framework is adopted to track the recognized signs in real time to provide enough information for driver assistance function. This paper presents lots of experiments in real driving conditions and the results demonstrate that our system can achieve a high detection and recognition rate, and handle large scale changes, motion blur, perspective distortion and various illumination conditions as well.
AB - In this paper we propose a traffic sign recognition system using an on-board single camera for Advanced Driver Assistance Systems (ADAS), including detection, recognition and tracking. We combine RGB ratios based color segmentation with automatic white balance preprocessing and Douglas-Peucker shape detection to establish ROIs. Scale and rotation invariant BRISK features are applied for recognition, matching the features of the candidates to those of template images that exist in database. Tracking-Learning-Detection (TLD) framework is adopted to track the recognized signs in real time to provide enough information for driver assistance function. This paper presents lots of experiments in real driving conditions and the results demonstrate that our system can achieve a high detection and recognition rate, and handle large scale changes, motion blur, perspective distortion and various illumination conditions as well.
UR - http://www.scopus.com/inward/record.url?scp=84871199874&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2012.6338799
DO - 10.1109/ITSC.2012.6338799
M3 - Conference contribution
AN - SCOPUS:84871199874
SN - 9781467330640
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 704
EP - 709
BT - 2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012
T2 - 2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012
Y2 - 16 September 2012 through 19 September 2012
ER -