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dc.contributor.authorPessanha, Franciscaen
dc.contributor.authorMcLennan, Kristaen
dc.contributor.authorAnis, Marwaen
dc.date.accessioned2020-04-17T23:30:41Z
dc.date.available2020-04-17T23:30:41Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/304491
dc.description.abstractPain in farm animals harms the economics of farming and affects animal welfare. However, prey animals tend to not openly express signs of weakness, making the pain assessment process difficult. We propose a novel hierarchical model for disease progression evaluation, adapted for a wide range of head poses, according to which relevant information is extracted. A fine-tuned CNN is applied for face detection, followed by a CNN-based pose estimation and pose-informed landmark location method. Then multi-modal features are extracted, combining the appearance of regions-of-interest, described using a Histogram of Oriented Gradients, with geometric features and the pose values, leading to a binary Support Vector Machine classifier. To evaluate the efficiency of the complete pipeline, videos of the same sheep recorded at initial and advanced stages of treatment were tested, showing a decrease in the average pain score detected. The pain evaluation method significantly outperformed the existing state-of-the art approach, being the first to apply a pose-based feature extraction in sheep pain detection.
dc.rightsAll rights reserved
dc.titleTowards automatic monitoring of disease progression in sheep: A hierarchical model for sheep facial expressions analysis from videoen
dc.typeConference Object
prism.endingPage0
prism.startingPage0
dc.identifier.doi10.17863/CAM.51570
dcterms.dateAccepted2020-01-30en
rioxxterms.versionofrecord10.1109/FG47880.2020.00107en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-01-30en
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.conference-nameIEEE International Conference on Automatic Face and Gesture Recognition (FG2020)en
cam.orpheus.successThu Nov 05 11:52:33 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2021-06-08


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