ML Anthology

Euclidean Path Modeling from Ground and Aerial Views

Imran N. Junejo, Hassan Foroosh
CVPR 2007
doi:10.1109/CVPR.2007.383508 /cvpr/2007/junejo2007cvpr-euclidean/

Abstract

We address the issue of Euclidean path modeling in a single camera for activity monitoring in a multi-camera video surveillance system. The paper proposes a novel linear solution to auto-calibrate any camera observing pedestrians and uses these calibrated cameras to detect unusual object behavior. The input trajectories are metric rectified and the input sequences are registered to the satellite imagery and prototype path models are constructed. During the testing phase, using our simple yet efficient similarity measures, we seek a relation between the input trajectories derived from a sequence and the prototype path models. Real-world pedestrian sequences are used to demonstrate the practicality of the proposed method.

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Text

Junejo and Foroosh. "Euclidean Path Modeling from Ground and Aerial Views." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383508

Markdown

[Junejo and Foroosh. "Euclidean Path Modeling from Ground and Aerial Views." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/junejo2007cvpr-euclidean/) doi:10.1109/CVPR.2007.383508

BibTeX

@inproceedings{junejo2007cvpr-euclidean,
  title     = {{Euclidean Path Modeling from Ground and Aerial Views}},
  author    = {Junejo, Imran N. and Foroosh, Hassan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383508},
  url       = {https://mlanthology.org/cvpr/2007/junejo2007cvpr-euclidean/}
}