Large Margin Object Tracking with Circulant Feature Maps

@article{Wang2017LargeMO,
  title={Large Margin Object Tracking with Circulant Feature Maps},
  author={Mengmeng Wang and Yong Liu and Zeyi Huang},
  journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017},
  pages={4800-4808}
}
  • M. Wang, Yong Liu, Zeyi Huang
  • Published 15 March 2017
  • Computer Science
  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Structured output support vector machine (SVM) based tracking algorithms have shown favorable performance recently. Nonetheless, the time-consuming candidate sampling and complex optimization limit their real-time applications. In this paper, we propose a novel large margin object tracking method which absorbs the strong discriminative ability from structured output SVM and speeds up by the correlation filter algorithm significantly. Secondly, a multimodal target detection technique is proposed… Expand
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