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Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network

Ter-Sarkisov, A., Kelleher, J. D., Earley, B., Keane, M. and Ross, R. J. (2018). Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. Paper presented at the 29th British Machine Vision Conference (BMVC), 3 - 6 September 2018, Northumbria University, Newcastle.

Abstract

In this paper we present a novel instance segmentation algorithm that extends a fully convolutional network to learn to label objects separately without prediction of regions of interest. We trained the new algorithm on a challenging CCTV recording of beef cattle, as well as benchmark MS COCO and Pascal VOC datasets. Extensive experimentation showed that our approach outperforms the state-of-the-art solutions by up to 8% on our data.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2018. The copyright of this document resides with its authors.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
S Agriculture > SF Animal culture
Departments: School of Mathematics, Computer Science & Engineering > Computer Science
URI: http://openaccess.city.ac.uk/id/eprint/21362
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Official URL: http://bmvc2018.org/

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