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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fernández-Carrión, Eduardo, Martínez-Avilés, Marta, Ivorra, Benjamin, Martínez-López, Beatriz, Ramos, Ángel Manuel, Sánchez-Vizcaíno, José Manuel
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