Automated Tail Position Tracking with Millimeter Accuracy using Depth Sensing and Mask R-CNN.

Roberts DL, Park J, Pappas A, Gruen M, Carson M. Automated Tail Position Tracking with Millimeter Accuracy using Depth Sensing and Mask R-CNN. ACI '19: Proceedings of the Sixth International https://doi.org/10.1145/3371049.3371050

Summary: This study introduces an automated system for tracking dog tail position with millimeter accuracy, aiming to enhance the tools available for studying canine tail communication. The method combines depth sensing with Mask R-CNN for image segmentation, utilizing point clouds to autonomously extract tail movement data. A feasibility study was conducted, showing encouraging results, though the data are not yet conclusive. This approach holds promise for advancing research into dog communication through precise tail movement analysis.