首页> 外文会议>World Congress on Computer Applications and Information Systems >Detection and classification of speed limit traffic signs
【24h】

Detection and classification of speed limit traffic signs

机译:速度限制交通标志的检测和分类

获取原文

摘要

This paper presents a novel traffic sign recognition system which can aid in the development of Intelligent Speed Adaptation. This system is based on extracting the speed limit sign from the traffic scene by Circular Hough Transform (CHT) with the aid of colour and non-colour information of the traffic sign. The digits of the speed limit sign are then extracted and classified using SVM classifier which is trained for this purpose. In general, the system detects the prohibitory traffic sign in the first place, specifies whether the detected sign is a speed limit sign, and then determines the allowed speed in case the detected sign is a speed limit sign. The SVM classifier was trained with 270 images which were collected in different light conditions. To check the robustness of this system, it was tested against 210 images which contain 213 speed limit traffic sign and 288 Non- Speed limit signs. It was found that the accuracy of recognition was 98% which indicates clearly the high robustness targeted by this system.
机译:本文提出了一种新颖的交通标志识别系统,可以帮助开发智能速度适应。该系统基于通过交通标志的颜色和非颜色信息来提取来自流量场景的速度限制符号。然后,使用针对此目的训练的SVM分类器来提取速度限制标志的数字并分类。通常,系统检测到第一个位置的禁止流量标志,指定检测到的符号是否是速度限制符号,然后在检测到的符号是速度限制标志的情况下确定允许的速度。 SVM分类器培训,用270个图像培训,该图像被收集在不同的光线条件下。为了检查该系统的稳健性,它是针对210个图像测试,其中包含213速度限制交通标志和288个非速度限制标志。有人发现,识别的准确性为98%,表明该系统瞄准的高稳健性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号