標題: | Real-Time Traffic Sign Recognition using Color Segmentation and SVM |
作者: | Ardianto, Sandy Chen, Chih-Jung Hang, Hsueh-Ming 電機學院 College of Electrical and Computer Engineering |
關鍵字: | Traffic Sign Recognition;Color Segmentation;Binary SVM;HOG;Gabor filter |
公開日期: | 1-一月-2017 |
摘要: | Traffic Sign Recognition (TSR) that can automatically notify and warn a vehicle driver is an essential element in the Advanced Driver Assistance System. In this study, we design and implement a real time traffic sign recognition system implemented on Advantech ARK-2121, a small computer mounted on car. The entire process is divided into two parts, the detection step and the classification step. In the detection step, we adopt color filtering, Laplacian and Gaussian filter to enhance an acquired image. Then, we detect the sign based on the contours. The recognition algorithm is accelerated by dividing an input frame into multiple blocks and process them in parallel. We improve the detection accuracy by enhancing input image before the recognition step. The SVM and HOG features are the major techniques in the recognition step. Our detection accuracy is around 91% and the classification accuracy is higher than 98% on the average. |
URI: | http://hdl.handle.net/11536/146882 |
ISSN: | 2157-8672 |
期刊: | 2017 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP) |
顯示於類別: | 會議論文 |