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Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language

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Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language
This paper presents a spatio-temporal query language useful for video interpretation and event recognition. The language is suited to describe configurations of objects moving on a plane. To demonstrate its applicability it has been tested on the output of a tracker working on a car traffic scene. The results of two example sets of queries are shown in two videos generated from the trackers data output. The first selects a ghost from the tracking data and the second shows how to find queues of cars in the road traffic scene without prior knowledge of lanes.
Christian Köhler
Added 12 Oct 2009
Updated 29 Oct 2009
Type Conference
Year 2004
Where CVPR
Authors Christian Köhler
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