Long-Term Tracking through Failure Cases

@article{Lebeda2013LongTermTT,
  title={Long-Term Tracking through Failure Cases},
  author={Karel Lebeda and Simon Hadfield and Jiri Matas and Richard Bowden},
  journal={2013 IEEE International Conference on Computer Vision Workshops},
  year={2013},
  pages={153-160}
}
Long term tracking of an object, given only a single instance in an initial frame, remains an open problem. We propose a visual tracking algorithm, robust to many of the difficulties which often occur in real-world scenes. Correspondences of edge-based features are used, to overcome the reliance on the texture of the tracked object and improve invariance to lighting. Furthermore we address long-term stability, enabling the tracker to recover from drift and to provide redetection following… CONTINUE READING
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