Recurrent Filter Learning for Visual Tracking

@article{Yang2017RecurrentFL,
  title={Recurrent Filter Learning for Visual Tracking},
  author={Tianyu Yang and Antoni B. Chan},
  journal={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)},
  year={2017},
  pages={2010-2019}
}
  • Tianyu Yang, Antoni B. Chan
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
  • Recently using convolutional neural networks (CNNs) has gained popularity in visual tracking, due to its robust feature representation of images. Recent methods perform online tracking by fine-tuning a pre-trained CNN model to the specific target object using stochastic gradient descent (SGD) back-propagation, which is usually time-consuming. In this paper, we propose a recurrent filter generation methods for visual tracking. We directly feed the target's image patch to a recurrent neural… CONTINUE READING
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    References

    SHOWING 1-10 OF 48 REFERENCES
    Spatially supervised recurrent convolutional neural networks for visual object tracking
    • G. Ning, Zhi Zhang, +4 authors Z. He
    • Computer Science
    • 2017 IEEE International Symposium on Circuits and Systems (ISCAS)
    • 2017
    • 148
    • PDF
    Transferring Rich Feature Hierarchies for Robust Visual Tracking
    • 258
    • PDF
    Convolutional Features for Correlation Filter Based Visual Tracking
    • 579
    • PDF
    Hierarchical Convolutional Features for Visual Tracking
    • 1,142
    • PDF
    Learning Multi-domain Convolutional Neural Networks for Visual Tracking
    • H. Nam, B. Han
    • Computer Science
    • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • 2016
    • 1,395
    • Highly Influential
    • PDF
    SANet: Structure-Aware Network for Visual Tracking
    • Heng Fan, Haibin Ling
    • Computer Science
    • 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
    • 2017
    • 156
    • PDF
    Recurrently Target-Attending Tracking
    • 109
    • PDF
    Fully-Convolutional Siamese Networks for Object Tracking
    • 1,420
    • Highly Influential
    • PDF