Real time vehicle counter system for Intelligent Transportation System

Author

Purnama, I.K.E. ; Zaini, A. ; Putra, B.N. ; Hariadi, M.

Author_Institution

Dept. of Electr. Eng., ITS, Surabaya, Indonesia

fYear

2009

fDate

23-25 Nov. 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents real time vehicle counter system for Intelligent Transportation System. A stream of video frames is processed using a sequence of procedures: foreground extraction, object segmentation and labeling, and object classification to differentiate between motor-cycle and car. Foreground extraction utilizing a simple method, background subtraction, and the segmentation utilizing methods of mathematical morphology: erotion, dilation and connected component labeling. Classification process is based on the size of connected component. In the image where no shadow of unwanted objects, the system delivers the success rate of a maximum 97% to recognize motorcycle and a maximum 95% to recognize car.

Keywords

automated highways; automobiles; feature extraction; image classification; image segmentation; motorcycles; real-time systems; video signal processing; background segmentation; background subtraction; car; foreground extraction; intelligent transportation system; mathematical morphology; motorcycle; object classification; object labeling; object segmentation; real time vehicle counter system; video frames stream; Counting circuits; Image recognition; Image segmentation; Intelligent transportation systems; Intelligent vehicles; Labeling; Morphology; Object segmentation; Real time systems; Streaming media; classification; intelligent transportation system; segmentation; vehicle-counter system;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on

Conference_Location

Bandung

Print_ISBN

978-1-4244-4999-6

Electronic_ISBN

978-1-4244-5000-8

Type

conf

DOI

10.1109/ICICI-BME.2009.5417239

Filename

5417239