ML Anthology

Comparison of Infrared and Visible Imagery for Object Tracking: Toward Trackers with Superior IR Performance

Erhan Gundogdu, Huseyin Ozkan, H. Seckin Demir, Hamza Ergezer, Erdem Akagündüz, S. Kubilay Pakin
CVPRW 2015 pp. 1-9
doi:10.1109/CVPRW.2015.7301290 /cvprw/2015/gundogdu2015cvprw-comparison/

Abstract

The subject of this paper is the visual object tracking in infrared (IR) videos. Our contribution is twofold. First, the performance behaviour of the state-of-the-art trackers is investigated via a comparative study using IR-visible band video conjugates, i.e., video pairs captured observing the same scene simultaneously, to identify the IR specific challenges. Second, we propose a novel ensemble based tracking method that is tuned to IR data. The proposed algorithm sequentially constructs and maintains a dynamical ensemble of simple correlators and produces tracking decisions by switching among the ensemble correlators depending on the target appearance in a computationally highly efficient manner We empirically show that our algorithm significantly outperforms the state-of-the-art trackers in our extensive set of experiments with IR imagery.

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Text

Gundogdu et al. "Comparison of Infrared and Visible Imagery for Object Tracking: Toward Trackers with Superior IR Performance." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2015. doi:10.1109/CVPRW.2015.7301290

Markdown

[Gundogdu et al. "Comparison of Infrared and Visible Imagery for Object Tracking: Toward Trackers with Superior IR Performance." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2015.](https://mlanthology.org/cvprw/2015/gundogdu2015cvprw-comparison/) doi:10.1109/CVPRW.2015.7301290

BibTeX

@inproceedings{gundogdu2015cvprw-comparison,
  title     = {{Comparison of Infrared and Visible Imagery for Object Tracking: Toward Trackers with Superior IR Performance}},
  author    = {Gundogdu, Erhan and Ozkan, Huseyin and Demir, H. Seckin and Ergezer, Hamza and Akagündüz, Erdem and Pakin, S. Kubilay},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2015},
  pages     = {1-9},
  doi       = {10.1109/CVPRW.2015.7301290},
  url       = {https://mlanthology.org/cvprw/2015/gundogdu2015cvprw-comparison/}
}