Real-time Automatic Road Sign Detection
This paper presents a real-time robust algorithm to automatically detect and classify round road signs on Chinese highways. As most of road signs on Chinese highways have circular borders, the detection systeM first takes advantage of a real-time circle detection algorithm to extract the regions of interest (ROI). Then the color and texture pattern in each ROI is analyzed and compared with sample signs to both validate the candidate road sign and identify their types. The algorithm is implemented in Visual C++ and tested on a laptop powered by an Intel Centrino Duo CPU at 1.8GHz. The experiment shows the algorithms speed is fast, 83 ms/images on average for image size of 640X480, and its false negative (failure to detect) is 21 signs or 4% (failure to detect) for a pool of 530 different road signs in a pool of 1000 pictures. And there are 3 non-road-sign objects incorrectly recognized as valid road signs.
Road sign detection road sign recognition digital image processing computer vision
Jianping Wu Maoxin Si Fangyong Tan Caidong Gu
JiangSu Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise, Suzhou Vocational University Suzhou, China, 215104
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
540-544
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）