Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation

no code implementations • 6 Nov 2020 • Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Greg Bishop-hurley, Marius Portmann

The key results of this paper is that the joint time-frequency data representation, even when used in conjunction with a relatively basic neural network classifier, can outperform the best cattle activity classifiers reported in the literature.

General Classification