Video Analytics Algorithm for Automatic Vehicle Classification (Intelligent Transport System)

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Arta Iftikhar 1,* Engr Ali Javed 1

1. Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan

* Corresponding author.


Received: 29 Nov. 2012 / Revised: 8 Jan. 2013 / Accepted: 12 Feb. 2013 / Published: 8 Apr. 2013

Index Terms

ITS, Masking, Ontology, ROI, Vehicle Detection, Vehicle classification


Automated Vehicle detection and classification is an important component of intelligent transport system. Due to significant importance in various fields such as traffic accidents avoidance, toll collection, congestion avoidance, terrorist activities monitoring, security and surveillance systems, intelligent transport system has become important field of study. Various technologies have been used for detecting and classifying vehicles automatically. Automated vehicle detection is broadly divided into two types- Hardware based and software based detection. Various algorithms have been implemented to classify different vehicles from videos. In this paper an efficient and economical solution for automatic vehicle detection and classification is proposed. The proposed system first isolates the object through background subtraction followed by vehicle detection using ontology. Vehicle detection is based on low level features such as shape, size, and spatial location. Finally system classifies vehicles into one of the known classes of vehicle based on size.

Cite This Paper

ArtaIftikhar,Ali Javed,"Video Analytics Algorithm for Automatic Vehicle Classification (Intelligent Transport System)", IJIGSP, vol.5, no.4, pp.38-45, 2013. DOI: 10.5815/ijigsp.2013.04.05


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