  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 home-cage 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. Our main
contribution is the novel Group Behaviour Model (GBM) which summarises the
joint behaviour of groups of mice across cages, using a permutation matrix to
match the mouse identities in each cage to the model. In support of the above,
we also (a) developed the Activity Labelling Module (ALM) to automatically
classify mouse behaviour from video, and (b) released two datasets, ABODe for
training behaviour classifiers and IMADGE for modelling behaviour.
