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arXiv · 1807.01972

Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network

Aram Ter-Sarkisov·Robert Ross·John Kelleher·Bernadette Earley·Michael Keane
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Abstract

We present an instance segmentation algorithm trained and applied to a CCTV recording of beef cattle during a winter finishing period. A fully convolutional network was transformed into an instance segmentation network that learns to label each instance of an animal separately. We introduce a conceptually simple framework that the network uses to output a single prediction for every animal. These results are a contribution towards behaviour analysis in winter finishing beef cattle for early detection of animal welfare-related problems.

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Aram Ter-Sarkisov, Robert Ross, John Kelleher, Bernadette Earley, Michael Keane. 2018-07-05. Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. https://arxiv.org/abs/1807.01972

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