@inproceedings{7c6d43b55e20461da635718fe8f5ba7d,
title = "Spatio-temporal modeling in the farmyard domain",
abstract = "A temporal modelling and prediction scheme based on modelling a {\textquoteleft}history space{\textquoteright} using Gaussian mixture models is presented. A point in this space represents an abstraction of a complete object history as opposed to finite histories used in Markov methods. It is shown how this {\textquoteleft}History Space Classifier{\textquoteright} may be incorporated into an existing scheme for spatial object modelling and tracking to improve tracking speed and robustness and to classify object {\textquoteleft}behaviour{\textquoteright} into normal and abnormal. An application to the tracking and monitoring of livestock is also presented in this paper.",
keywords = "Behaviour model, History space classifier, Livestock",
author = "Magee, {D. R.} and Boyle, {R. D.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 1st International Workshop on Articulated Motion and Deformable Objects, AMDO 2000 ; Conference date: 07-09-2000 Through 09-09-2000",
year = "2000",
doi = "10.1007/10722604_8",
language = "English",
isbn = "354067912X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "83--95",
editor = "Hans-Hellmut Nagel and {Perales Lopez}, {Francisco J.}",
booktitle = "Articulated Motion and Deformable Objects - 1st International Workshop, AMDO 2000, Proceedings",
address = "Switzerland",
}