Previously, we introduced a method for estimating the linguistic
direction of motion of an object in a scene by processing a temporal
sequence of linguistic descriptions of its position relative to a
stationary object. This method relies on the observation of “regular”
descriptions generated through a fuzzy logic system based on the
histogram of forces. These descriptions may not exist if the distance
between the two objects is too close. In this paper, we use fuzzy sets
to generate degrees of activation for the estimated directions of
motion. Temporal fusion is applied on these values over a fixed time
window using weights calculated from linguistic information on the
distance between the objects. The new dynamic linguistic descriptions
are determined based on the present as well as the past estimates.
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