High-Speed Tracking with Kernelized Correlation Filters

@article{Henriques2015HighSpeedTW,
  title={High-Speed Tracking with Kernelized Correlation Filters},
  author={Jo{\~a}o F. Henriques and Rui Caseiro and Pedro Martins and Jorge Batista},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2015},
  volume={37},
  pages={583-596}
}
The core component of most modern trackers is a discriminative classifier, tasked with distinguishing between the target and the surrounding environment. [...] Key Method By showing that the resulting data matrix is circulant, we can diagonalize it with the discrete Fourier transform, reducing both storage and computation by several orders of magnitude. Interestingly, for linear regression our formulation is equivalent to a correlation filter, used by some of the fastest competitive trackers.Expand
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