A SYMBOLIC APPROACH FOR CLASSIFICATION OF MOVING VEHICLES IN TRAFFIC VIDEOS

D. S. Guru, Elham Dallalzadeh, S. Manjunath

2012

Abstract

In this paper, a symbolic approach is proposed to classify moving vehicles in traffic videos. A corner-based tracking method is presented to track and detect moving vehicles. We propose to overlap the boundary curves of each vehicle while tracking it in sequence of frames to reconstruct a complete boundary shape of the vehicle. The reconstructed boundary shape is normalized and then a set of efficient shape features are extracted. The extracted shape features are used to form interval-valued feature vector representation of vehicles. Vehicles are categorized into 4 different types of vehicle classes using a symbolic similarity measure. To corroborate the efficacy of the proposed method, experiment is conducted on 21,239 frames of roadway traffic videos taken in an uncontrolled environment during day time. The proposed method has 95.16% classification accuracy. Moreover, experiments reveal that the proposed method can be well adopted for on-line classification of moving vehicles as it is based on a simple matching scheme.

Paper Citation

in Harvard Style

S. Guru D., Dallalzadeh E. and Manjunath S. (2012). A SYMBOLIC APPROACH FOR CLASSIFICATION OF MOVING VEHICLES IN TRAFFIC VIDEOS . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 351-356. DOI: 10.5220/0003754103510356

in Bibtex Style

@conference{icpram12,
author={D. S. Guru and Elham Dallalzadeh and S. Manjunath},
title={A SYMBOLIC APPROACH FOR CLASSIFICATION OF MOVING VEHICLES IN TRAFFIC VIDEOS},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={351-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003754103510356},
isbn={978-989-8425-99-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - A SYMBOLIC APPROACH FOR CLASSIFICATION OF MOVING VEHICLES IN TRAFFIC VIDEOS
SN - 978-989-8425-99-7
AU - S. Guru D.
AU - Dallalzadeh E.
AU - Manjunath S.
PY - 2012
SP - 351
EP - 356
DO - 10.5220/0003754103510356