2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1 Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language Washington, D.C., USA June 27-July 02 ISBN: 0-7695-2158-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.223
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.
Citation:
Christian Köhler, "Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language," cvpr, vol. 1, pp.619-624, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1, 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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