DocumentCode
2516500
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
fYear
1994
fDate
18-21 Dec 1994
Firstpage
225
Lastpage
229
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CNNA.1994.381675
Filename
381675
Link To Document