Publicado en International Conference on Systems, Signals, and Image Processing
Abstract:
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.