  Animal behaviour is complex and the amount of data in the form of video, if
extracted, is copious. Manual analysis of behaviour is massively limited by two
insurmountable obstacles, the complexity of the behavioural patterns and human
bias. Automated visual analysis has the potential to eliminate both of these
issues and also enable continuous analysis allowing a much higher bandwidth of
data collection which is vital to capture complex behaviour at many different
time scales. Behaviour is not confined to a finite set modules and thus we can
only model it by inferring the generative distribution. In this way
unpredictable, anomalous behaviour may be considered. Here we present a method
of unsupervised behavioural analysis from nothing but high definition video
recordings taken from a single, fixed perspective. We demonstrate that the
identification of stereotyped rodent behaviour can be extracted in this way.
