Of Mice and Mates: Automated Classification and Modelling of Mouse
  Behaviour in Groups using a Single Model across Cages
Michael P. J. Camilleri Rasneer S. Bains Christopher K. I. Williams
Behavioural experiments often happen in specialised arenas, but this may
confound the analysis. To address this issue, we provide tools to study mice in
the homecage environment, equipping biologists with the possibility to capture
the temporal aspect of the individual's behaviour and model the interaction and
interdependence between cage-mates with minimal human intervention. We develop
the Activity Labelling Module (ALM) to automatically classify mouse behaviour
from video, and a novel Group Behaviour Model (GBM) for summarising their joint
behaviour across cages, using a permutation matrix to match the mouse
identities in each cage to the model. We also release two datasets, ABODe for
training behaviour classifiers and IMADGE for modelling behaviour.