Publication Type:

Conference Paper

Source:

Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011, Mumbai, p.357-361 (2011)

ISBN:

9781467301251

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84857173912&partnerID=40&md5=a575bd4c4af2acc50f4610ed47514a43

Keywords:

Abstract levels, Background subtraction, Communication technologies, Computer applications, Diverse applications, Information technology, Intelligent transport systems, Isolation techniques, Real-time traffic datum, Regions of interest, Road users, Timely feedback, Tracking (position), Tracking and classification, Traffic control, Traffic managers, Traffic policemen, Traffic videos, Transport problems, Vehicle classification, Vehicle detection, Vehicles

Abstract:

Among the diverse applications of computer and communication technologies, Intelligent Transport System aids in simplifying transport problems. Its aim is to gather data and provide timely feedback to traffic managers (traffic policemen) and road users. The various problems involved in processing real-time traffic data has been addressed in several areas of research that includes vehicle detection, tracking and classification. This paper proposes a technique for isolation and classification of vehicles at an abstract level. The isolation technique aims at locating regions of interest (vehicles) within the image to be classified. Classification is performed in two categories. The first category is to identify the predominant color and the second is to classify the vehicle as light or heavy. The experimental results show an accuracy of 82% even for traffic video sequences involving complicated scenes. © 2011 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@b267526 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@9d51782 Through org.apache.xalan.xsltc.dom.DOMAdapter@4fa5cd9; Conference Code:88545

Cite this Research Publication

R. Aarthi, Arunkumar, C., and Megalingam, R. K., “Automatic isolation and classification of vehicles in a traffic video”, in Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011, Mumbai, 2011, pp. 357-361.