Incremental recognition of traffic situations from video image sequences

摘要

Our image evaluation system XTRACK tracks multiple-vehicle-configurations in image sequences. The resulting geometric state descriptions are associated with fuzzy attributes and relations and thereby form the basis for incremental characterization of traffic situations from the point of view of selected road users or observers. Knowledge representation and inference is performed by means of fuzzy metric temporal logic in order to provide an in-depth analyzable transition from raw video data to conceptual descriptions of traffic situations.