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A comparison of autoencoder and statistical features for cattle behaviour classification

conference contribution
posted on 2023-05-23, 11:14 authored by Rahman, A, Smith, D, James HillsJames Hills, Bishop-Hurley, G, Henry, D, Richard RawnsleyRichard Rawnsley
A study is presented comparing the effectiveness of unsupervised feature representations with handcrafted features for cattle behaviour classification. Precision management of cattle requires the interaction of individual animals to be continuously monitored on the farm. Consequently, classifiers are trained to infer the behaviour of the animals using the observations from the sensors that are fitted upon them. Historically, domain knowledge drives the generation of features for cattle behaviour classifiers. When new behaviours are introduced into the system, however, it is often necessary to modify the feature set; this requires additional design and more data. Autoencoders, on the other hand, can skip this design step by learning a common, unsupervised feature representation for training. Whilst stacked autoencoders successfully represent structured data including speech, language and images, deep networks have not been used to model cattle motion. Hence, we investigate using a stacked autoencoder to learn a feature representation for cattle behaviour classification. Experimental results demonstrate that the autoencoder features perform reasonably well in comparison to the statistical features that are selected using prior knowledge of behaviour motion.

History

Publication title

Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN)

Pagination

1-7

Department/School

Tasmanian Institute of Agriculture (TIA)

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

United States

Event title

2016 International Joint Conference on Neural Networks (IJCNN)

Event Venue

Vancouver, Canada

Date of Event (Start Date)

2016-07-24

Date of Event (End Date)

2016-07-29

Rights statement

Copyright 2016 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Dairy cattle

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    University Of Tasmania

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