Mask R-CNN based approach for Segmenting Individual Cattle in the Feedlot

Author:

Bello Rotimi-Williams,Oladipo Mojisola Abosede

Publisher

Elsevier BV

Reference25 articles.

1. Automatic individual Holstein Friesian cattle identification via selective local coat pattern matching in rgb-d imagery;W Andrew;2016 IEEE International Conference on Image Processing (ICIP),2016

2. Visual localisation and individual identification of holstein friesian cattle via deep learning;W Andrew;Proceedings of the IEEE International Conference on Computer Vision,2017

3. Monitoring cattle grazing behavior and intrusion using global positioning system and virtual fencing;R W Bello;Asian Journal of Mathematical Sciences,2019

4. Contour extraction of individual cattle from an image using enhanced Mask R-CNN instance segmentation method;R W Bello;Ieee Access,2021

5. Enhanced Mask R-CNN for herd segmentation;R W Bello;International Journal of Agricultural and Biological Engineering,2021

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