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In this paper we describe a system for capturing time-varying sequences of behavioural patterns of agents or robots from a video clips. The detailed time slices of action are 'coarsened' to provide gross, molecular units of behaviour. Combinations of these are then represented in the form of a table, which is mined using rough sets methods here, although various other mining techniques can also be used. Some preliminary experiments are reported to prove the concept.