W. Allasia, C. Culeddu, F. Gallo, M. Vigilante, and M. Ferraro (Italy)
Traffic Sign Recognition; Automatic Video Processing
This paper describes a working prototype for road traffic sign recognition, presenting experimental results and eval uation. The elaboration chain involves the acquisition of the videos provided by digital cameras fixed on a vehicle and a video processing system based on degenerate deci sion trees, made up of two classifiers adopting two different techniques: the detector, which operates on Haar-like fea tures and detects the regions of interest (ROI) where can didate traffic signs can be found, and the recognizer, which makes use of standard MPEG-7 visual descriptors com puted in a metric space enabling the similarity approach for selecting the correct pattern in each ROI.
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