Real-Time Railway Speed Limit Sign Recognition from Video Sequences

被引：0
|
作者：
Agudo, David [1 ]
Sanchez, Angel [2 ]
Velez, Jose F. [2 ]
Belen Moreno, A. [2 ]
机构：
[1] ISDEFE, C Beatriz de Bobadilla 3, Madrid 28040, Spain
[2] Rey Juan Carlos Univ, Tech Sch Comp Engn, Mostoles 28933, Madrid, Spain
来源：
PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING, (IWSSIP 2016) | 2016年
关键词：
Railway environments; traffic sign detection and recognition; real-time video analysis; situation awareness; Hough transform voting scheme; SVM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes an implemented solution to automatically detect and recognize in real-time both speed limit warning signs and speed limit signs in railway travel videos recorded from the driver's cab. The lack of available high-quality videos to train this kind of systems and the involved complexity of the rail scenes, with non-controlled illumination conditions, make it challenging the considered problem. Our framework achieved interesting recognition results of around 95% for both signs types and digits recognition.
引用
收藏
页码：109 / 112
页数：4
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