Classification of Vehicles Using Magnetic Field Angle Model

Prateek, GV and Nijil, Kolleri and Hari, KVS (2013) Classification of Vehicles Using Magnetic Field Angle Model. In: 4th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), JAN 29-31, 2013 , Bangkok, THAILAND, pp. 214-219.

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Abstract

This paper presents an efficient approach to the modeling and classification of vehicles using the magnetic signature of the vehicle. A database was created using the magnetic signature collected over a wide range of vehicles(cars). A sensor dependent approach called as Magnetic Field Angle Model is proposed for modeling the obtained magnetic signature. Based on the data model, we present a novel method to extract the feature vector from the magnetic signature. In the classification of vehicles, a linear support vector machine configuration is used to classify the vehicles based on the obtained feature vectors.

Item Type:	Conference Proceedings
Series.:	Proceedings International Conference on Intelligent Systems Modelling Simulation
Publisher:	IEEE
Additional Information:	4th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), Bangkok, THAILAND, JAN 29-31, 2013
Keywords:	Wireless Sensor Networks; Magnetometers; AMR Sensors; Vehicle Detection; Data Modeling; Support Vector Machines; Vehicle Classification
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	10 Sep 2013 05:40
Last Modified:	10 Sep 2013 05:40
URI:	http://eprints.iisc.ac.in/id/eprint/47088

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