Real-time railway speed limit sign recognition from video sequences
- Resource Type
- Conference
- Authors
- Agudo, David; Sanchez, Angel; Velez, Jose F.; Belen Moreno, A.
- Source
- 2016 International Conference on Systems, Signals and Image Processing (IWSSIP) Systems, Signals and Image Processing (IWSSIP), 2016 International Conference on. :1-4 May, 2016
- Subject
- Signal Processing and Analysis
Decision support systems
Railway environments
traffic sign detection and recognition
real-time video analysis
situation awareness
Hough transform voting scheme
SVM
- Language
- ISSN
- 2157-8702
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.