Volume 5 Number 4 (Aug. 2013)
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IJCEE 2013 Vol.5(4): 435-437 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2013.V5.747

Counting Cars in Traffic Using Cascade Haar with KLP

Chirag I. Patel and Ripal Patel
Abstract—Detection of vehicles in images represents an important step towards achieving automated roadway monitoring capabilities. The challenge lies in being able to reliably and quickly detect multiple small objects of interest against a cluttered background which usually consists of road signs, trees and buildings. To this end we present a Proof of Concept Traffic monitoring application. The application counts the number of cars passing in either direction. Car detection is done using a boosted cascade of Haar features and is combined with the pyramidal KLT tracker to achieve a fast monitoring system.

Index Terms—Video processing, object detection, ada boost algorithm, machine vision.

Chirag I. Patel is with the Computer Science Department, Nirma Institute of Technology, Ahmedabad, India (e-mail: chirag453@gmail.com).
Ripal Patel is with the Electronics & Commu. Department Dharmsinh Desai institute of technology, Nadiad, India (email: ripalpatel315@gmail.com).

Cite:Chirag I. Patel and Ripal Patel, "Counting Cars in Traffic Using Cascade Haar with KLP," International Journal of Computer and Electrical Engineering vol. 5, no. 4, pp. 435-437, 2013.

General Information

ISSN: 1793-8163
Frequency: Semiyearly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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