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Dense Pixel-level Beef Cattle Instance Segmentation Using a Fully Convolutional Network
Aram Ter-Sarkisov, Robert Ross, John Kelleher, Bernadette Earley, Michael Keane
Feb 12, 2018 (modified: Feb 12, 2018)ICLR 2018 Workshop Submissionreaders: everyone
Abstract:We present an instance segmentation algorithm trained and applied to a video of a group of heifers recorded in a winter finishing feedlot. We transform a fully convolutional class segmentation network into an instance segmentation network that
learns to label each instance of a heifer separately. We introduce two new modules that teach the network to output a single prediction for every animal. These results are an early contribution towards behaviour analysis in winter finishing beef cattle
for early detection of welfare-related problems, namely lameness.
TL;DR:Instance segmentation algorithm to identify beef cattle in a winter finishing feedlot facility