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Authors: Razib Iqbal ; Matthew Kenney and Jamil Saquer

Affiliation: Missouri State University, United States

ISBN: 978-989-758-260-8

ISSN: 2184-2825

Keyword(s): Video Surveillance, Parallel Processing, Apache Storm, Microsoft Azure, Google Cloud, HDInsight.

Abstract: We developed a software system to extract and track vehicle license plate numbers from real-time surveillance cameras and crowd sourced video streams. The system can also calculate the probable routes of a vehicle over a range of dates based on the geographical coordinates. In this paper, we present both of our linear and parallel processing implementation schemes and analyze the performance based on evaluation results. Our results show that while cloud based parallel processing can address the scalability needs, performance outweighs the cost only when the real-time streaming data becomes increasingly large.

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Paper citation in several formats:
Iqbal, R.; Kenney, M. and Saquer, J. (2017). Should We Place the License Plate Tracking System in the Cloud?.In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017) ISBN 978-989-758-260-8, ISSN 2184-2825, pages 77-80. DOI: 10.5220/0006470000770080

@conference{sigmap17,
author={Razib Iqbal. and Matthew Kenney. and Jamil Saquer.},
title={Should We Place the License Plate Tracking System in the Cloud?},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017)},
year={2017},
pages={77-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006470000770080},
isbn={978-989-758-260-8},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017)
TI - Should We Place the License Plate Tracking System in the Cloud?
SN - 978-989-758-260-8
AU - Iqbal, R.
AU - Kenney, M.
AU - Saquer, J.
PY - 2017
SP - 77
EP - 80
DO - 10.5220/0006470000770080

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