A multi-view model for visual tracking via correlation filters

@article{Li2016AMM,
  title={A multi-view model for visual tracking via correlation filters},
  author={Xin Li and Qiao Liu and Zhenyu He and Hongpeng Wang and Chunkai Zhang and Wensheng Chen},
  journal={Knowl.-Based Syst.},
  year={2016},
  volume={113},
  pages={88-99}
}
Robustness and efficiency are the two main goals of existing trackers. Most robust trackers are implemented with combined features or models accompanied with a high computational cost. To achieve a robust and efficient tracking performance, we propose a multi-view correlation tracker to do tracking. On one hand, the robustness of the tracker is enhanced by the multi-view model, which fuses several features and selects the more discriminative features to do tracking. On the other hand, the… CONTINUE READING
Highly Cited
This paper has 33 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 20 extracted citations

Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model

IEEE Transactions on Circuits and Systems for Video Technology • 2018
View 1 Excerpt

Point-to-Set Distance Metric Learning on Deep Representations for Visual Tracking

IEEE Transactions on Intelligent Transportation Systems • 2018
View 1 Excerpt

Robust Visual Multi-Target Trackers : A Review

Pavankumar, Manojkumar Rajgopal
2018

Unified Sparse Subspace Learning via Self-Contained Regression

IEEE Transactions on Circuits and Systems for Video Technology • 2018

References

Publications referenced by this paper.
Showing 1-10 of 58 references

High-Speed Tracking with Kernelized Correlation Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2015
View 20 Excerpts
Highly Influenced

A

M. Kristan, J. Matas, +13 authors A. Petrosino
S. Montero, The visual object tracking vot2015 challenge results • 2015
View 7 Excerpts
Highly Influenced

Histograms of oriented gradients for human detection

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) • 2005
View 13 Excerpts
Highly Influenced

Online Graph-Based Tracking

View 4 Excerpts
Highly Influenced

Struck: Structured Output Tracking with Kernels

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2011
View 4 Excerpts
Highly Influenced

Connected Component Model for Multi-Object Tracking

IEEE Transactions on Image Processing • 2016
View 1 Excerpt

Interacting Multiview Tracker

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2016
View 3 Excerpts

Similar Papers

Loading similar papers…