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Clothing identification via deep learning: forensic applications
Attribute-based identification systems are essential for forensic investigations because they help in identifying individuals. An item such as clothing is a visual attribute because it can usually be used to describe people. The method proposed in this article aims to identify people based on the vi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201771/ https://www.ncbi.nlm.nih.gov/pubmed/30483672 http://dx.doi.org/10.1080/20961790.2018.1526251 |
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author | Bedeli, Marianna Geradts, Zeno van Eijk, Erwin |
author_facet | Bedeli, Marianna Geradts, Zeno van Eijk, Erwin |
author_sort | Bedeli, Marianna |
collection | PubMed |
description | Attribute-based identification systems are essential for forensic investigations because they help in identifying individuals. An item such as clothing is a visual attribute because it can usually be used to describe people. The method proposed in this article aims to identify people based on the visual information derived from their attire. Deep learning is used to train the computer to classify images based on clothing content. We first demonstrate clothing classification using a large scale dataset, where the proposed model performs relatively poorly. Then, we use clothing classification on a dataset containing popular logos and famous brand images. The results show that the model correctly classifies most of the test images with a success rate that is higher than 70%. Finally, we evaluate clothing classification using footage from surveillance cameras. The system performs well on this dataset, labelling 70% of the test images correctly. |
format | Online Article Text |
id | pubmed-6201771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-62017712018-11-27 Clothing identification via deep learning: forensic applications Bedeli, Marianna Geradts, Zeno van Eijk, Erwin Forensic Sci Res Original Article Attribute-based identification systems are essential for forensic investigations because they help in identifying individuals. An item such as clothing is a visual attribute because it can usually be used to describe people. The method proposed in this article aims to identify people based on the visual information derived from their attire. Deep learning is used to train the computer to classify images based on clothing content. We first demonstrate clothing classification using a large scale dataset, where the proposed model performs relatively poorly. Then, we use clothing classification on a dataset containing popular logos and famous brand images. The results show that the model correctly classifies most of the test images with a success rate that is higher than 70%. Finally, we evaluate clothing classification using footage from surveillance cameras. The system performs well on this dataset, labelling 70% of the test images correctly. Taylor & Francis 2018-10-17 /pmc/articles/PMC6201771/ /pubmed/30483672 http://dx.doi.org/10.1080/20961790.2018.1526251 Text en © 2018 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Bedeli, Marianna Geradts, Zeno van Eijk, Erwin Clothing identification via deep learning: forensic applications |
title | Clothing identification via deep learning: forensic applications |
title_full | Clothing identification via deep learning: forensic applications |
title_fullStr | Clothing identification via deep learning: forensic applications |
title_full_unstemmed | Clothing identification via deep learning: forensic applications |
title_short | Clothing identification via deep learning: forensic applications |
title_sort | clothing identification via deep learning: forensic applications |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201771/ https://www.ncbi.nlm.nih.gov/pubmed/30483672 http://dx.doi.org/10.1080/20961790.2018.1526251 |
work_keys_str_mv | AT bedelimarianna clothingidentificationviadeeplearningforensicapplications AT geradtszeno clothingidentificationviadeeplearningforensicapplications AT vaneijkerwin clothingidentificationviadeeplearningforensicapplications |