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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9268885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT tassumeyra deeplearningbasedvehicleclassificationforlowqualityimages AT sariozgen deeplearningbasedvehicleclassificationforlowqualityimages AT dalverenyaser deeplearningbasedvehicleclassificationforlowqualityimages AT pazarsenol deeplearningbasedvehicleclassificationforlowqualityimages AT karaali deeplearningbasedvehicleclassificationforlowqualityimages AT derawimohammad deeplearningbasedvehicleclassificationforlowqualityimages |