Multi-kernel Correlation Filter for Visual Tracking

@article{Tang2015MultikernelCF,
  title={Multi-kernel Correlation Filter for Visual Tracking},
  author={Ming Tang and Jiayi Feng},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={3038-3046}
}
Correlation filter based trackers are ranked top in terms of performances. Nevertheless, they only employ a single kernel at a time. In this paper, we will derive a multi-kernel correlation filter (MKCF) based tracker which fully takes advantage of the invariance-discriminative power spectrums of various features to further improve the performance. Moreover, it may easily introduce location and representation errors to search several discrete scales for the proper one of the object bounding box… CONTINUE READING
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