ML Anthology

Locally Orderless Tracking

Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avidan
CVPR 2012 pp. 1940-1947
doi:10.1109/CVPR.2012.6247895 /cvpr/2012/oron2012cvpr-locally/

Abstract

Locally Orderless Tracking (LOT) is a visual tracking algorithm that automatically estimates the amount of local (dis)order in the object. This lets the tracker specialize in both rigid and deformable objects on-line and with no prior assumptions. We provide a probabilistic model of the object variations over time. The model is implemented using the Earth Mover's Distance (EMD) with two parameters that control the cost of moving pixels and changing their color. We adjust these costs on-line during tracking to account for the amount of local (dis)order in the object. We show LOT's tracking capabilities on challenging video sequences, both commonly used and new, demonstrating performance comparable to state-of-the-art methods.

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Cite

Text

Oron et al. "Locally Orderless Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6247895

Markdown

[Oron et al. "Locally Orderless Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/oron2012cvpr-locally/) doi:10.1109/CVPR.2012.6247895

BibTeX

@inproceedings{oron2012cvpr-locally,
  title     = {{Locally Orderless Tracking}},
  author    = {Oron, Shaul and Bar-Hillel, Aharon and Levi, Dan and Avidan, Shai},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {1940-1947},
  doi       = {10.1109/CVPR.2012.6247895},
  url       = {https://mlanthology.org/cvpr/2012/oron2012cvpr-locally/}
}