Visual tracking via online manifold regularization

@inproceedings{Xu2010VisualTV,
  title={Visual tracking via online manifold regularization},
  author={Nan Xu and Zhenyu Wang},
  booktitle={ICIMCS},
  year={2010}
}
In recent years, online building an adaptive target appearance model has been investigated for robust visual tracking in a dynamic environment. However one inherent problem of adaptive appearance trackers is drift, a gradual adaptation of the tracker to non-targets. To alleviate this problem, we consider visual tracking in a novel online manifold regularization (Online-MR) setting where labeled and unlabeled data arrive sequentially in large volume for tracker update. A discriminative target… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-3 OF 3 REFERENCES

A Nonparametric Treatment for Location/Segmentation Based Visual Tracking

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition
  • 2007
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Tracking as Repeated Figure/Ground Segmentation

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition
  • 2007
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

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