Title :
Moving vehicle classification
Author :
Duman, D. ; Akar, Gozde Bozdagi
Author_Institution :
ASELSAN, Ankara, Turkey
Abstract :
In recent years intelligent transportation systems has been an active research area in computer vision. This work aims to classify vehicles as car, van or truck by using videos which are taken from an uncalibrated camera which sees any highway from above. In this work, moving blobs are detected by a background-foreground extraction algorithm, classification is done by extracting the blob features and histogram of oriented gradients features of detected blobs and by giving those features to support vector machine classifier. Suggested method has been tried on 2 different traffic video and results have been presented.
Keywords :
automated highways; automobiles; computer vision; feature extraction; gradient methods; image classification; image motion analysis; object detection; road traffic; support vector machines; video cameras; video signal processing; background-foreground extraction algorithm; blob feature extraction; car; computer vision; highway; histogram of oriented gradients; intelligent transportation system; moving blob detection; moving vehicle classification; support vector machine classifier; traffic video; truck; uncalibrated camera; van; Computer vision; Conferences; Feature extraction; Histograms; Streaming media; Support vector machines; Vehicles; background-foreground extraction; histogram of oriented gradients; support vector machine; vehicle segmentation;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531410
