Cylindric clock model to represent spatio-temporal trajectories

To automatically understand agents' environment and its changes, the study of spatio-temporal relations between the objects evolving in the observed scene is of prime importance. In particular, the temporal aspect is crucial to analyze scene's objects of interest and their trajectories, e.g. to follow their movements, understand their behaviours, etc. in this paper, we propose to conceptualize qualititative spatio-temporal relations in terms of the clock model and extend it to a new spatio-temporal model we call cylindric clock model, in order to effectively perform automated reasoning about the scene and its objects of interest and to improve the modeling of dynamic scenes compared to state-of-art approaches as demonstrated in the carried out experiments. Hence, the new formalisation of the qualitative spatio-temporal relations provides an efficient method for both knowledge representation and information processing of spatio-temporal motion data.