A Method of Fast and Robust For Traffic Sign Recognition
This paper proposes a fast and robust algorithm for traffic sign detection and recognition. The algorithM includes two stages: traffic sign detection and recognition. In the first stage, Adaboost algorithM based red pixels model of speed limit sign in the Lab color space is built Then the model is used to extract area of latent speed limit signs. After that, the improved Hough Transform is used to locate the signs precisely. In the second stage, the template matching algorithm is used to recognize the traffic sign. At the same time, a new method of rejecting non-signs is presented, which improved the recognition rate in the complex outdoor scenes.
traffic sign color filtering Hough transform criterion of rejection contezt information
Wang Yongping Shimeiping Wu Tao
National University of Defense Technolgy Department of Mechatronics Engineering and Automation
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
891-895
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）