Moving Vehicle Classification

Creative Commons License

CANSARAN DUMAN D., AKAR G.

21st Signal Processing and Communications Applications Conference (SIU), CYPRUS, 24 - 26 April 2013, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2013.6531410
  • Country: CYPRUS
  • Keywords: vehicle segmentation, background-foreground extraction, histogram of oriented gradients, support vector machine, SYSTEM
  • Open Archive Collection: AVESIS Open Access Collection
  • Ankara University Affiliated: Yes

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.