Moving vehicle classification

Author

Duman, D. ; Akar, Gozde Bozdagi

Author_Institution

ASELSAN, Ankara, Turkey

fYear

2013

fDate

24-26 April 2013

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SIU.2013.6531410

Filename

6531410