Title :
A New Vehicle Recognition Approach Based on Graph Spectral Theory and BP Neural Network
Author :
Yu, Wang ; Lei, Li ; Feng, ShiJian
Author_Institution :
Nanjing Artillery Acad. of PL A, Langfang, China
Abstract :
A new vehicle recognition approach based on graph spectral theory and neural networks is proposed in this paper. In the approach, image threshold method based on graph spectral theory is used for image preprocessing. And after filter of undetermined regions with rules, regions left are gray-unified. These gray values are input into neural network to recognize vehicle and vehicle types. The experiment proves that this method has high recognition rate and low false rate.
Keywords :
backpropagation; graph theory; neural nets; object recognition; road traffic; traffic engineering computing; BP neural network; backpropagation; false rate; graph spectral theory; gray-unified image; image preprocessing; image threshold method; recognition rate; vehicle recognition approach; vehicle type recognition; Feature extraction; Image recognition; Learning systems; Neural networks; Satellites; Vehicle detection; Vehicles; Graph Spectral Theory; Neural Network; Vehicle Recognition;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.116
