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Deep Learning-Based Vehicle Classification for Low Quality Images

This study proposes a simple convolutional neural network (CNN)-based model for vehicle classification in low resolution surveillance images collected by a standard security camera installed distant from a traffic scene. In order to evaluate its effectiveness, the proposed model is tested on a new d...

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Detalles Bibliográficos
Autores principales: Tas, Sumeyra, Sari, Ozgen, Dalveren, Yaser, Pazar, Senol, Kara, Ali, Derawi, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268885/
https://www.ncbi.nlm.nih.gov/pubmed/35808251
http://dx.doi.org/10.3390/s22134740
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author Tas, Sumeyra
Sari, Ozgen
Dalveren, Yaser
Pazar, Senol
Kara, Ali
Derawi, Mohammad
author_facet Tas, Sumeyra
Sari, Ozgen
Dalveren, Yaser
Pazar, Senol
Kara, Ali
Derawi, Mohammad
author_sort Tas, Sumeyra
collection PubMed
description This study proposes a simple convolutional neural network (CNN)-based model for vehicle classification in low resolution surveillance images collected by a standard security camera installed distant from a traffic scene. In order to evaluate its effectiveness, the proposed model is tested on a new dataset containing tiny (100 × 100 pixels) and low resolution (96 dpi) vehicle images. The proposed model is then compared with well-known VGG16-based CNN models in terms of accuracy and complexity. Results indicate that although the well-known models provide higher accuracy, the proposed method offers an acceptable accuracy (92.9%) as well as a simple and lightweight solution for vehicle classification in low quality images. Thus, it is believed that this study might provide useful perception and understanding for further research on the use of standard low-cost cameras to enhance the ability of the intelligent systems such as intelligent transportation system applications.
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spelling pubmed-92688852022-07-09 Deep Learning-Based Vehicle Classification for Low Quality Images Tas, Sumeyra Sari, Ozgen Dalveren, Yaser Pazar, Senol Kara, Ali Derawi, Mohammad Sensors (Basel) Article This study proposes a simple convolutional neural network (CNN)-based model for vehicle classification in low resolution surveillance images collected by a standard security camera installed distant from a traffic scene. In order to evaluate its effectiveness, the proposed model is tested on a new dataset containing tiny (100 × 100 pixels) and low resolution (96 dpi) vehicle images. The proposed model is then compared with well-known VGG16-based CNN models in terms of accuracy and complexity. Results indicate that although the well-known models provide higher accuracy, the proposed method offers an acceptable accuracy (92.9%) as well as a simple and lightweight solution for vehicle classification in low quality images. Thus, it is believed that this study might provide useful perception and understanding for further research on the use of standard low-cost cameras to enhance the ability of the intelligent systems such as intelligent transportation system applications. MDPI 2022-06-23 /pmc/articles/PMC9268885/ /pubmed/35808251 http://dx.doi.org/10.3390/s22134740 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tas, Sumeyra
Sari, Ozgen
Dalveren, Yaser
Pazar, Senol
Kara, Ali
Derawi, Mohammad
Deep Learning-Based Vehicle Classification for Low Quality Images
title Deep Learning-Based Vehicle Classification for Low Quality Images
title_full Deep Learning-Based Vehicle Classification for Low Quality Images
title_fullStr Deep Learning-Based Vehicle Classification for Low Quality Images
title_full_unstemmed Deep Learning-Based Vehicle Classification for Low Quality Images
title_short Deep Learning-Based Vehicle Classification for Low Quality Images
title_sort deep learning-based vehicle classification for low quality images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268885/
https://www.ncbi.nlm.nih.gov/pubmed/35808251
http://dx.doi.org/10.3390/s22134740
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