Recent advances of single-object tracking methods: A brief survey-Reference-Cited by-同舟云学术

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Recent advances of single-object tracking methods: A brief survey

Published:2021-09 Issue: Volume:455 Page:1-11
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhang Yucheng,Wang Tian,Liu Kexin,Zhang Baochang,Chen Lei

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference110 articles.

1. D.S. Bolme, J.R. Beveridge, B.A. Draper and Y.M. Lui, Visual object tracking using adaptive correlation filters, in: Proc. 2010 IEEE Conf. Computer Vision and Pattern Recognition, 2010, pp. 2544–2550.

2. Fully-convolutional siamese networks for object tracking;Bertinetto,2016

3. J. Yin, W. Wang, Q. Meng, R. Yang and J. Shen, A unified object motion and affinity model for online multi-object tracking, arXiv preprint arXiv:2003.11291, 2020.

4. Multiobject tracking by submodular optimization;Shen;IEEE Trans. Cybern.,2019

5. U. Kart, A. Lukezic, M. Kristan, J. Kamarainen and J. Matas, Object tracking by reconstruction with view-specific discriminative correlation filters, arXiv preprint arXiv:1811.10863, 2019.

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