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Background subtraction for night videos
Motion analysis is important in video surveillance systems and background subtraction is useful for moving object detection in such systems. However, most of the existing background subtraction methods do not work well for surveillance systems in the evening because objects are usually dark and refl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205302/ https://www.ncbi.nlm.nih.gov/pubmed/34179456 http://dx.doi.org/10.7717/peerj-cs.592 |
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author | Pan, Hongpeng Zhu, Guofeng Peng, Chengbin Xiao, Qing |
author_facet | Pan, Hongpeng Zhu, Guofeng Peng, Chengbin Xiao, Qing |
author_sort | Pan, Hongpeng |
collection | PubMed |
description | Motion analysis is important in video surveillance systems and background subtraction is useful for moving object detection in such systems. However, most of the existing background subtraction methods do not work well for surveillance systems in the evening because objects are usually dark and reflected light is usually strong. To resolve these issues, we propose a framework that utilizes a Weber contrast descriptor, a texture feature extractor, and a light detection unit, to extract the features of foreground objects. We propose a local pattern enhancement method. For the light detection unit, our method utilizes the finding that lighted areas in the evening usually have a low saturation in hue-saturation-value and hue-saturation-lightness color spaces. Finally, we update the background model and the foreground objects in the framework. This approach is able to improve foreground object detection in night videos, which do not need a large data set for pre-training. |
format | Online Article Text |
id | pubmed-8205302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82053022021-06-24 Background subtraction for night videos Pan, Hongpeng Zhu, Guofeng Peng, Chengbin Xiao, Qing PeerJ Comput Sci Algorithms and Analysis of Algorithms Motion analysis is important in video surveillance systems and background subtraction is useful for moving object detection in such systems. However, most of the existing background subtraction methods do not work well for surveillance systems in the evening because objects are usually dark and reflected light is usually strong. To resolve these issues, we propose a framework that utilizes a Weber contrast descriptor, a texture feature extractor, and a light detection unit, to extract the features of foreground objects. We propose a local pattern enhancement method. For the light detection unit, our method utilizes the finding that lighted areas in the evening usually have a low saturation in hue-saturation-value and hue-saturation-lightness color spaces. Finally, we update the background model and the foreground objects in the framework. This approach is able to improve foreground object detection in night videos, which do not need a large data set for pre-training. PeerJ Inc. 2021-06-10 /pmc/articles/PMC8205302/ /pubmed/34179456 http://dx.doi.org/10.7717/peerj-cs.592 Text en ©2021 Pan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Algorithms and Analysis of Algorithms Pan, Hongpeng Zhu, Guofeng Peng, Chengbin Xiao, Qing Background subtraction for night videos |
title | Background subtraction for night videos |
title_full | Background subtraction for night videos |
title_fullStr | Background subtraction for night videos |
title_full_unstemmed | Background subtraction for night videos |
title_short | Background subtraction for night videos |
title_sort | background subtraction for night videos |
topic | Algorithms and Analysis of Algorithms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205302/ https://www.ncbi.nlm.nih.gov/pubmed/34179456 http://dx.doi.org/10.7717/peerj-cs.592 |
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