Extended cuckoo search‐based kernel correlation filter for abrupt motion tracking-Reference-Cited by-同舟云学术

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Extended cuckoo search‐based kernel correlation filter for abrupt motion tracking

Published:2018-04-12 Issue:6 Volume:12 Page:763-769
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Zhang Huanlong¹,Zhang Xiujiao¹,Wang Yong²,Qian Xiaoliang¹,Wang Yanfeng¹

Affiliation:

1. College of Electric and Information Engineering, Zhengzhou University of Light IndustryNo. 5 Dongfeng RoadZhengzhouPeople's Republic of China

2. School of Electrical Engineering and Computer Science, University of OttawaNo. 75 Laurier Ave EOttawaCanada

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0554

Reference33 articles.

1. Graph regularized and locality‐constrained coding for robust visual tracking;Zhou T.;IEEE Trans. Control Netw. Syst.,2016

2. On the improvement of foreground–background model‐based object tracker

3. Visual Tracking via Constrained Incremental Non-negative Matrix Factorization

4. SIFT flow for abrupt motion tracking via adaptive samples selection with sparse representation

5. Fast and Robust Object Tracking via Probability Continuous Outlier Model

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2. A synergy of the adaptive whale optimization algorithm and differential evolution for abrupt motion tracking;Applied Soft Computing;2023-09

3. Utility of Binary Cuckoo Search Approach for Microarray Data Analysis;Advances in Healthcare Information Systems and Administration;2022-06-24

4. Efficient visual tracking approach via whale optimizer and corrected background weighted histogram;Multimedia Tools and Applications;2021-03-16

5. Kernel correlation filter tracking strategy based on adaptive fusion response map;IET Image Processing;2021-03-02

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