Deriving Textual Descriptions of Road Traffic Queues from Video Sequences

Based on geometric results obtained by an algorithmic video (sequence) evaluation, a generic conceptual representation will be instantiated into a representation of the specific temporal developments within the recorded scene. Such an instantiated conceptual representation will in turn provide the input for a text generation subsystem. This contribution outlines a system implementation which relies on a fuzzy metric-temporal (Horn) logic to realize the systeminternal generic representation. The instantiation step is realized as the search for a suitable interpretation of the corresponding set of logic formulae where the geometric results obtained by image sequence evaluation provide the set of individuals. The practicality of this approach is demonstrated by abstraction processes which aggregate suitably selected vehicles from recorded road traffic scenes into a vehicle queue.