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

Christian Köhler
CVPR 2004 pp. 619-624
doi:10.1109/CVPR.2004.223 /cvpr/2004/kohler2004cvpr-selecting/

Abstract

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.

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Cite

Text

Köhler. "Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.223

Markdown

[Köhler. "Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/kohler2004cvpr-selecting/) doi:10.1109/CVPR.2004.223

BibTeX

@inproceedings{kohler2004cvpr-selecting,
  title     = {{Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language}},
  author    = {Köhler, Christian},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {619-624},
  doi       = {10.1109/CVPR.2004.223},
  url       = {https://mlanthology.org/cvpr/2004/kohler2004cvpr-selecting/}
}