Title :
Automatic recognition of train tail signs using CNNs [Cellular neural networks]
Author :
Balsi, Marco ; Racina, Nicola
Author_Institution :
Dipartimento di Ingegneria Elettronica, La Sapienza Univ., Rome, Italy
Abstract :
Automatic recognition of tail signs placed on train tail cars is realized by CNN (cellular neural network) processing. This operation is required by Italian safety regulations and is currently done by a human operator. The CNN-based system proposed may already be sufficiently reliable and cheap to automate such a task
Keywords :
cellular neural nets; image recognition; rail traffic; railways; Italian safety regulations; automatic recognition; cellular neural network processing; train tail signs; Buffer storage; Cellular neural networks; Detectors; Humans; Image edge detection; Personnel; Safety; Signal processing; Software systems; Tail;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381675
