research-article

Automatic Vehicle Identification Through Visual Features

Authors:

Imran Shafiq Ahmad,

Boubakeur BoufamaAuthors Info & Claims

MoMM2019: Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia

Pages 185 - 194

https://doi.org/10.1145/3365921.3365938

Published: 22 February 2020 Publication History

Abstract

Detection and recognition of a vehicle license plate is a fundamental requirement of any intelligent transport system, primarily to support activities like finding a stolen vehicle, vehicle surveillance/tracking, parking-toll collection, traffic flow planning and management, etc. However, a license plate can easily be stolen and/or changed by those with criminal intent to conceal their identity. This paper proposes a new vehicle identification system to obtain high degree of accuracy and success rate by not only considering the license plate but also shape of the vehicle. The proposed system is based on four steps: license plate detection, license plate recognition, license plate jurisdiction (province) detection and the vehicle shape detection. In the proposed system, the features are converted into local binary pattern (LBP) and Histogram of Oriented Gradients (HOG) as training dataset. To obtain high degree of accuracy in real-time application, a novel method based on cascaded classifiers is used to update the system. The proposed system allows us to store features of vehicles and related information in the database, thus, allowing us to automatically detect any discrepancy between a license plate and vehicle associated with it.

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Cited By

Barclay ISimpkin CBent GLa Porta TMillar DPreece ATaylor IVerma D(2022)Trustable service discovery for highly dynamic decentralized workflowsFuture Generation Computer Systems10.1016/j.future.2022.03.035134(236-246)Online publication date: Sep-2022
https://doi.org/10.1016/j.future.2022.03.035
Barclay ISimpkin CBent GPorta TMillar DPreece ATaylor IVerma D(2020)Enabling Discoverable Trusted Services for Highly Dynamic Decentralized Workflows2020 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)10.1109/WORKS51914.2020.00011(41-48)Online publication date: Nov-2020
https://doi.org/10.1109/WORKS51914.2020.00011

Index Terms

Automatic Vehicle Identification Through Visual Features
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Machine learning
2. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Multimedia and multimodal retrieval
  2. Information systems applications
    1. Multimedia information systems

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cover image ACM Other conferences

MoMM2019: Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia

December 2019

266 pages

ISBN:9781450371780

DOI:10.1145/3365921

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Johannes Kepler University, Linz, Austria
@WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 February 2020

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MoMM2019

MoMM2019: The 17th International Conference on Advances in Mobile Computing & Multimedia

December 2 - 4, 2019

Munich, Germany

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Cited By

Barclay ISimpkin CBent GLa Porta TMillar DPreece ATaylor IVerma D(2022)Trustable service discovery for highly dynamic decentralized workflowsFuture Generation Computer Systems10.1016/j.future.2022.03.035134(236-246)Online publication date: Sep-2022
https://doi.org/10.1016/j.future.2022.03.035
Barclay ISimpkin CBent GPorta TMillar DPreece ATaylor IVerma D(2020)Enabling Discoverable Trusted Services for Highly Dynamic Decentralized Workflows2020 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)10.1109/WORKS51914.2020.00011(41-48)Online publication date: Nov-2020
https://doi.org/10.1109/WORKS51914.2020.00011

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