ML Anthology

Coalitional Tracking in Facial Infrared Imaging and Beyond

Jonathan Dowdall, Ioannis T. Pavlidis, Panagiotis Tsiamyrtzis
CVPRW 2006 pp. 134
doi:10.1109/CVPRW.2006.55 /cvprw/2006/dowdall2006cvprw-coalitional/

Abstract

We propose a novel facial tracking method that uses a distributed network of individual trackers whose interactions are modeled using coalitional game theory. Our tracking method maintains a high level of accuracy and can negotiate surface deformations and occlusions. We tested the method on a substantial video set featuring non-trivial face motion from over 40 subjects in both the infrared and visual spectra. The coalitional tracker demonstrated fault tolerant behavior that exceeds by far the performance of single condensation trackers. Our method represents a shift from the typical tracking paradigms and may find broader application in demanding imaging problems across the electromagnetic spectrum.

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Cite

Text

Dowdall et al. "Coalitional Tracking in Facial Infrared Imaging and Beyond." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006. doi:10.1109/CVPRW.2006.55

Markdown

[Dowdall et al. "Coalitional Tracking in Facial Infrared Imaging and Beyond." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006.](https://mlanthology.org/cvprw/2006/dowdall2006cvprw-coalitional/) doi:10.1109/CVPRW.2006.55

BibTeX

@inproceedings{dowdall2006cvprw-coalitional,
  title     = {{Coalitional Tracking in Facial Infrared Imaging and Beyond}},
  author    = {Dowdall, Jonathan and Pavlidis, Ioannis T. and Tsiamyrtzis, Panagiotis},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2006},
  pages     = {134},
  doi       = {10.1109/CVPRW.2006.55},
  url       = {https://mlanthology.org/cvprw/2006/dowdall2006cvprw-coalitional/}
}