Title :
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
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;
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
DOI :
10.1109/ICICI-BME.2009.5417239
