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Perimeter Intrusion Detection by Video Surveillance: A Survey
In recent times, we have seen a massive rise in vision-based applications, such as video anomaly detection, motion detection, object tracking, people counting, etc. Most of these tasks are well defined, with a clear idea of the goal, along with proper datasets and evaluation procedures. However, per...
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/PMC9104546/ https://www.ncbi.nlm.nih.gov/pubmed/35591289 http://dx.doi.org/10.3390/s22093601 |
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author | Lohani, Devashish Crispim-Junior, Carlos Barthélemy, Quentin Bertrand, Sarah Robinault, Lionel Tougne Rodet, Laure |
author_facet | Lohani, Devashish Crispim-Junior, Carlos Barthélemy, Quentin Bertrand, Sarah Robinault, Lionel Tougne Rodet, Laure |
author_sort | Lohani, Devashish |
collection | PubMed |
description | In recent times, we have seen a massive rise in vision-based applications, such as video anomaly detection, motion detection, object tracking, people counting, etc. Most of these tasks are well defined, with a clear idea of the goal, along with proper datasets and evaluation procedures. However, perimeter intrusion detection (PID), which is one of the major tasks in visual surveillance, still needs to be formally defined. A perimeter intrusion detection system (PIDS) aims to detect the presence of an unauthorized object in a protected outdoor site during a certain time. Existing works vaguely define a PIDS, and this has a direct impact on the evaluation of methods. In this paper, we mathematically define it. We review the existing methods, datasets and evaluation protocols based on this definition. Furthermore, we provide a suitable evaluation protocol for real-life application. Finally, we evaluate the existing systems on available datasets using different evaluation schemes and metrics. |
format | Online Article Text |
id | pubmed-9104546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91045462022-05-14 Perimeter Intrusion Detection by Video Surveillance: A Survey Lohani, Devashish Crispim-Junior, Carlos Barthélemy, Quentin Bertrand, Sarah Robinault, Lionel Tougne Rodet, Laure Sensors (Basel) Review In recent times, we have seen a massive rise in vision-based applications, such as video anomaly detection, motion detection, object tracking, people counting, etc. Most of these tasks are well defined, with a clear idea of the goal, along with proper datasets and evaluation procedures. However, perimeter intrusion detection (PID), which is one of the major tasks in visual surveillance, still needs to be formally defined. A perimeter intrusion detection system (PIDS) aims to detect the presence of an unauthorized object in a protected outdoor site during a certain time. Existing works vaguely define a PIDS, and this has a direct impact on the evaluation of methods. In this paper, we mathematically define it. We review the existing methods, datasets and evaluation protocols based on this definition. Furthermore, we provide a suitable evaluation protocol for real-life application. Finally, we evaluate the existing systems on available datasets using different evaluation schemes and metrics. MDPI 2022-05-09 /pmc/articles/PMC9104546/ /pubmed/35591289 http://dx.doi.org/10.3390/s22093601 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 | Review Lohani, Devashish Crispim-Junior, Carlos Barthélemy, Quentin Bertrand, Sarah Robinault, Lionel Tougne Rodet, Laure Perimeter Intrusion Detection by Video Surveillance: A Survey |
title | Perimeter Intrusion Detection by Video Surveillance: A Survey |
title_full | Perimeter Intrusion Detection by Video Surveillance: A Survey |
title_fullStr | Perimeter Intrusion Detection by Video Surveillance: A Survey |
title_full_unstemmed | Perimeter Intrusion Detection by Video Surveillance: A Survey |
title_short | Perimeter Intrusion Detection by Video Surveillance: A Survey |
title_sort | perimeter intrusion detection by video surveillance: a survey |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104546/ https://www.ncbi.nlm.nih.gov/pubmed/35591289 http://dx.doi.org/10.3390/s22093601 |
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