Flying Objects Detection from a Single Moving Camera

Artem Rozantsev, Vincent Lepetit, Pascal Fua

CVPR 2015

doi:10.1109/CVPR.2015.7299040 /cvpr/2015/rozantsev2015cvpr-flying/

Abstract

We propose an approach to detect flying objects such as UAVs and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and are filmed by a camera that itself moves. Solving such a difficult problem requires combining both appearance and motion cues. To this end we propose a regression-based approach to motion stabilization of local image patches that allows us to achieve effective classifica- tion on spatio-temporal image cubes and outperform state- of-the-art techniques. As the problem is relatively new, we collected two chal- lenging datasets for UAVs and Aircrafts, which can be used as benchmarks for flying objects detection and vision- guided collision avoidance.

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Cite

Text

Rozantsev et al. "Flying Objects Detection from a Single Moving Camera." Conference on Computer Vision and Pattern Recognition, 2015. doi:10.1109/CVPR.2015.7299040

Markdown

[Rozantsev et al. "Flying Objects Detection from a Single Moving Camera." Conference on Computer Vision and Pattern Recognition, 2015.](https://mlanthology.org/cvpr/2015/rozantsev2015cvpr-flying/) doi:10.1109/CVPR.2015.7299040

BibTeX

@inproceedings{rozantsev2015cvpr-flying,
  title     = {{Flying Objects Detection from a Single Moving Camera}},
  author    = {Rozantsev, Artem and Lepetit, Vincent and Fua, Pascal},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2015},
  doi       = {10.1109/CVPR.2015.7299040},
  url       = {https://mlanthology.org/cvpr/2015/rozantsev2015cvpr-flying/}
}