DocumentCode :
2771841
Title :
Vehicle Detection and Neural Network Application for Vehicle Classification
Author :
Daigavane, P.M. ; Bajaj, Preeti R. ; Daigavane, M.B.
Author_Institution :
S.D. Coll. of Eng., Wardha, India
fYear :
2011
fDate :
7-9 Oct. 2011
Firstpage :
758
Lastpage :
762
Abstract :
In recent years, video processing have been widely used in traffic management. Vehicle detection and vehicle classification using neural network (NN), can be achieved by video monitoring systems. In most vehicle detection methods in the literature, only the detection of vehicles in frames of the given video is emphasized. However, further analysis is needed in order to obtain the useful information for traffic management such as real time traffic density and number of vehicle types passing through roads. This paper presents application of neural network for vehicle detection and classification.
Keywords :
image classification; neural nets; object detection; road vehicles; traffic engineering computing; video signal processing; neural network application; traffic density; traffic management; vehicle classification; vehicle detection; video monitoring systems; video processing; Artificial neural networks; Computer vision; Image segmentation; Motion segmentation; Road transportation; Vehicle detection; Vehicles; Vehicle Identification; neural network; vehicle classification; vehicle tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
Type :
conf
DOI :
10.1109/CICN.2011.168
Filename :
6112973
Link To Document :
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