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In this paper we propose a novel approach for syntactic description and maching of object trajectories in digital video, suitable for classification and recognition purposes. Trajectories are first segmented by detecting the meaningful discontinuities in time and space, and are successively expressed through an adhoc syntax. A suitable metric is then proposed, which allows determining the similarity among trajectories, based on the so-called inexact or approximate matching. The metric mimicsdoi:10.1109/tmm.2009.2030746 fatcat:ak5sgciwinb27l5qjxqj55cm4u