Inicio \ Investigación \ Publicaciones científicas \


Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever


6 de septiembre de 2017

Investigación publicada en PLoS ONE


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




Fernandez-Carrion E., Martinez-Aviles M., Ivorra B., Martinez-Lopez B., Ramos AM. y Sanchez-Vizcaino JM..




Ver artículo
Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever

Ver en NLM PubMed
Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever

Participantes:

Universidad ComplutenseServicio de Inmunología Viral y Medicina Preventiva (SUAT). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).

Universidad ComplutenseDepartamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).

Universidad ComplutenseGrupo de Investigación ´Modelos Matemáticos en Ciencia y Tecnología: Desarrollo, Análisis, Simulación Numérica y Control´ (MOMAT). Facultad de Ciencias Matemáticas. Universidad Complutense (UCM).

University of California-DavisCenter for Animal Disease Modeling and Surveilance (CADMS). University of California-Davis (UCDAVIS).







PLoS ONE
FACTOR YEAR Q
2.806 2016

NLMID: 101285081

PMID: 28877181

ISSN: 1932-6203



TÍTULO: Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever


REVISTA: PLoS ONE


NUMERACIÓN: 12(9):e0183793


AÑO: 2017


EDITORIAL: Public Library Science


AUTORES: Fernandez-Carrion E., Martinez-Aviles M., Ivorra B., Martinez-Lopez B., Ramos AM. and Sanchez-Vizcaino JM..


PARTICIPANTES VISAVET


First
Eduardo Fernández Carrión
2nd
Marta Martínez Avilés
Last
José Manuel Sánchez-Vizcaíno Rodríguez

DOI: https://doi.org/10.1371/journal.pone.0183793


CITA ESTA PUBLICACIÓN:

Fernandez-Carrion E., Martinez-Aviles M., Ivorra B., Martinez-Lopez B., Ramos AM. y Sanchez-Vizcaino JM. Motion-based video monitoring for early detection of livestock diseases: The case of African swine fever. PLoS ONE. 12(9):e0183793. 2017. (A). ISSN: 1932-6203. DOI: 10.1371/journal.pone.0183793


SERVICIOS: