REVISTA

Estimación del nivel de dolor de las ovejas mediante la detección de unidades de acción facial

Descripción: Localización de puntos de referencia faciales, normalización y luego extracción de rasgos faciales. Estos se describen utilizando el histograma de gradientes orientados, y luego se clasifican utilizando máquinas de vectores de soporte

TITULO FUENTE ORIGINAL:

Estimating Sheep Pain Level Using Facial Action Unit Detection

AUTORES:

Yiting Lu, Marwa Mahmoud, Peter Robinson

REVISTA ABREV.:

CABI

AÑO:

2017

REFERENCIA:

IEEE International Conference on Automatic Face and Gesture Recognition, Wa

DOI:

10.1109 / FG.2017.56

RESUMEN ORIGINAL:

Assessing pain levels in animals is a crucial, but time-consuming process in maintaining their welfare. Facial expressions in sheep are an efficient and reliable indicator of pain levels. In this paper, we have extended techniques for recognising human facial expressions to encompass facial action units in sheep, which can then facilitate automatic estimation of pain levels. Our multi-level... + Leer más

Assessing pain levels in animals is a crucial, but time-consuming process in maintaining their welfare. Facial expressions in sheep are an efficient and reliable indicator of pain levels. In this paper, we have extended techniques for recognising human facial expressions to encompass facial action units in sheep, which can then facilitate automatic estimation of pain levels. Our multi-level approach starts with detection of sheep faces, localisation of facial landmarks, normalisation and then extraction of facial features. These are described using Histogram of Oriented Gradients, and then classified using Support Vector Machines. Our experiments show an overall accuracy of 67% on sheep Action Units classification. We argue that with more data, our approach on automated pain level assessment can be generalised to other animals

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Enlace al pdf de acceso libre: https://www.cl.cam.ac.uk/~pr10/publications/f[...]