Tracker-Level Fusion for Robust Bayesian Visual Tracking

@article{Biresaw2015TrackerLevelFF,
  title={Tracker-Level Fusion for Robust Bayesian Visual Tracking},
  author={Tewodros Atanaw Biresaw and Andrea Cavallaro and Carlo S. Regazzoni},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2015},
  volume={25},
  pages={776-789}
}
We propose a tracker-level fusion framework for robust visual tracking. The framework combines trackers addressing different tracking challenges to improve the overall performance. A novelty of the proposed framework is the inclusion of an online performance measure to identify the track quality level of each tracker so as to guide the fusion. The fusion is then based on appropriately mixing the prior state of the trackers. Moreover, the track-quality level is used to update the target… CONTINUE READING
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