DocumentCode :
2629326
Title :
A car detection system using the neocognitron
Author :
Yamaguchi, Satoshi ; Itakura, Hidekiyo
Author_Institution :
Dept. of Comput. Sci., Chiba Inst. of Technol., Harashino, Japan
fYear :
1991
fDate :
18-21 Nov 1991
Firstpage :
1208
Abstract :
A car image detection system using the neocognitron is described. The system can recognize car images successfully without regard to influences of the differences of kinds of cars and shifts in position. The number of cell planes can be reduced by actively introducing features of patterns to be recognized by the neocognitron. The neocognitron uses vertical and horizontal lines and combinations as training patterns. The increase of the number of cell planes can thus be held down. Although car images are not directly used in the training process except in the output layer, the system can detect cars skilfully. Thus, using appropriate features of input patterns, the neocognitron obtains sufficient recognition capability
Keywords :
computer vision; computerised pattern recognition; learning systems; neural nets; road traffic; car detection system; car image recognition; learning systems; neocognitron; neural nets; road traffic; training patterns; Computer science; Computer vision; Image processing; Image recognition; Multi-layer neural network; Neural networks; Pattern recognition; Roads; Traffic control; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
Type :
conf
DOI :
10.1109/IJCNN.1991.170561
Filename :
170561
Link To Document :
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