Coalitional Tracking in Facial Infrared Imaging and Beyond

@article{Dowdall2006CoalitionalTI,
  title={Coalitional Tracking in Facial Infrared Imaging and Beyond},
  author={Jonathan Dowdall and Ioannis T. Pavlidis and Panagiotis Tsiamyrtzis},
  journal={2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)},
  year={2006},
  pages={134-134}
}
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… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 36 REFERENCES

Decentralized multiple target tracking using netted collaborative autonomous trackers

  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

Multiple object tracking with kernel particle filter

  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

BraMBLe: a Bayesian multiple-blob tracker

  • Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001
  • 2001
VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

A probabilistic exclusion principle for tracking multiple objects

  • Proceedings of the Seventh IEEE International Conference on Computer Vision
  • 1999
VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

Analyzing and capturing articulated hand motion in image sequences

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2005
VIEW 1 EXCERPT

Imaging Breathing Rate in the CO2Absorption Band

  • 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
  • 2005
VIEW 2 EXCERPTS

Imaging the cardiovascular pulse

  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
VIEW 2 EXCERPTS