Cargando…
Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever
Early detection of infectious diseases can substantially reduce the health and economic impacts on livestock production. Here we describe a system for monitoring animal activity based on video and data processing techniques, in order to detect slowdown and weakening due to infection with African swi...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587303/ https://www.ncbi.nlm.nih.gov/pubmed/28877181 http://dx.doi.org/10.1371/journal.pone.0183793 |
_version_ | 1783261971543490560 |
---|---|
author | Fernández-Carrión, Eduardo Martínez-Avilés, Marta Ivorra, Benjamin Martínez-López, Beatriz Ramos, Ángel Manuel Sánchez-Vizcaíno, José Manuel |
author_facet | Fernández-Carrión, Eduardo Martínez-Avilés, Marta Ivorra, Benjamin Martínez-López, Beatriz Ramos, Ángel Manuel Sánchez-Vizcaíno, José Manuel |
author_sort | Fernández-Carrión, Eduardo |
collection | PubMed |
description | Early detection of infectious diseases can substantially reduce the health and economic impacts on livestock production. Here we describe a system for monitoring animal activity based on video and data processing techniques, in order to detect slowdown and weakening due to infection with African swine fever (ASF), one of the most significant threats to the pig industry. The system classifies and quantifies motion-based animal behaviour and daily activity in video sequences, allowing automated and non-intrusive surveillance in real-time. The aim of this system is to evaluate significant changes in animals’ motion after being experimentally infected with ASF virus. Indeed, pig mobility declined progressively and fell significantly below pre-infection levels starting at four days after infection at a confidence level of 95%. Furthermore, daily motion decreased in infected animals by approximately 10% before the detection of the disease by clinical signs. These results show the promise of video processing techniques for real-time early detection of livestock infectious diseases. |
format | Online Article Text |
id | pubmed-5587303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55873032017-09-15 Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever Fernández-Carrión, Eduardo Martínez-Avilés, Marta Ivorra, Benjamin Martínez-López, Beatriz Ramos, Ángel Manuel Sánchez-Vizcaíno, José Manuel PLoS One Research Article Early detection of infectious diseases can substantially reduce the health and economic impacts on livestock production. Here we describe a system for monitoring animal activity based on video and data processing techniques, in order to detect slowdown and weakening due to infection with African swine fever (ASF), one of the most significant threats to the pig industry. The system classifies and quantifies motion-based animal behaviour and daily activity in video sequences, allowing automated and non-intrusive surveillance in real-time. The aim of this system is to evaluate significant changes in animals’ motion after being experimentally infected with ASF virus. Indeed, pig mobility declined progressively and fell significantly below pre-infection levels starting at four days after infection at a confidence level of 95%. Furthermore, daily motion decreased in infected animals by approximately 10% before the detection of the disease by clinical signs. These results show the promise of video processing techniques for real-time early detection of livestock infectious diseases. Public Library of Science 2017-09-06 /pmc/articles/PMC5587303/ /pubmed/28877181 http://dx.doi.org/10.1371/journal.pone.0183793 Text en © 2017 Fernández-Carrión et al 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 author and source are credited. |
spellingShingle | Research Article Fernández-Carrión, Eduardo Martínez-Avilés, Marta Ivorra, Benjamin Martínez-López, Beatriz Ramos, Ángel Manuel Sánchez-Vizcaíno, José Manuel Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever |
title | Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever |
title_full | Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever |
title_fullStr | Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever |
title_full_unstemmed | Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever |
title_short | Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever |
title_sort | motion-based video monitoring for early detection of livestock diseases: the case of african swine fever |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587303/ https://www.ncbi.nlm.nih.gov/pubmed/28877181 http://dx.doi.org/10.1371/journal.pone.0183793 |
work_keys_str_mv | AT fernandezcarrioneduardo motionbasedvideomonitoringforearlydetectionoflivestockdiseasesthecaseofafricanswinefever AT martinezavilesmarta motionbasedvideomonitoringforearlydetectionoflivestockdiseasesthecaseofafricanswinefever AT ivorrabenjamin motionbasedvideomonitoringforearlydetectionoflivestockdiseasesthecaseofafricanswinefever AT martinezlopezbeatriz motionbasedvideomonitoringforearlydetectionoflivestockdiseasesthecaseofafricanswinefever AT ramosangelmanuel motionbasedvideomonitoringforearlydetectionoflivestockdiseasesthecaseofafricanswinefever AT sanchezvizcainojosemanuel motionbasedvideomonitoringforearlydetectionoflivestockdiseasesthecaseofafricanswinefever |