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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.
This article was published in the following journal.
Name: PloS one
Although video monitoring has been shown to reduce falls among at-risk hospitalized patients, there are no identified best practices for the monitoring process.
The assessment of anterior eye diseases and the understanding of psychological functions of blinking can benefit greatly from a validated blinking detection technology. In this work, we proposed an al...
Falls are a major threat for senior citizens' independent living. Motion sensor technologies and automatic fall detection systems have emerged as a reliable low-cost solution to this challenge. We dev...
Buruli Ulcer (BU) is one of the most neglected debilitating tropical diseases caused by Mycobacterium ulcerans, which causes considerable morbidity and disability. Building on earlier findings that co...
This paper presents a novel model for video salient object detection called spatiotemporal constrained optimization model (SCOM), which exploits spatial and temporal cues, as well as a local constrain...
This study is a pilot study, mainly to explore the potential application value of specific pattern movement after video-based quantitative methods in the early recognition and assessment o...
Background: - MRSA is a type of bacteria that causes serious health problems. It can cause severe infections and is difficult to treat. MRSA has been found in a high number of people who ...
Analysis of spontaneous movements in young infants from video recordings is recommended as an early medical assessment tool for prediction of cerebral palsy in high-risk infants. Such vide...
To compare the efficacy and stability of an ICT-based centralized clinical trial monitoring system against the efficacy and stability of an existing outpatient-based electrocardiogram (ECG...
The purpose of this study is to assess the effectiveness of a brief 23-minute video-based educational waiting room intervention to reduce incident STD and high risk behavior among STD pati...
Methods to identify and characterize cancer in the early stages of disease and predict tumor behavior.
Used with articles which include video files or clips, or for articles which are entirely video.
Endoscopic surgical procedures performed with visualization via video transmission. When real-time video is combined interactively with prior CT scans or MRI images, this is called image-guided surgery (see SURGERY, COMPUTER-ASSISTED).
A form of interactive entertainment in which the player controls electronically generated images that appear on a video display screen. This includes video games played in the home on special machines or home computers, and those played in arcades. (McGraw Hill Encyclopedia of Science & Technology, 7th ed, v19, p223)
A film or video wholly or partially created by photographing drawings, sculptures, or other inanimate things in sequence to create the illusion of motion. Animations are also generated by computers. (From Moving Image Materials: Genre Terms, 1988)
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