Retracted: Multiscale fast correlation filtering tracking algorithm based on a feature fusion model-Reference-Cited by-同舟云学术

Retracted: Multiscale fast correlation filtering tracking algorithm based on a feature fusion model

Published:2019-10-23 Issue:15 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Chen Yuantao¹^ORCID,Wang Jin¹²,Liu Songjie¹³,Chen Xi¹,Xiong Jie⁴,Xie Jingbo⁵,Yang Kai⁶

Affiliation:

1. School of Computer and Communication Engineering and Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and Technology Changsha China

2. School of Information Science and Engineering Fujian University of Technology Fujian China

3. Hunan Valin Lianyuan Iron & Steel Corporation Loudi China

4. Electronics & Information School Yangtze University Jingzhou China

5. Hunan Institute of Scientific and Technical Information Changsha China

6. Technical Quality Department Hunan ZOOMLION Heavy Industry Intelligent Technology Corporation Limited Changsha China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5533

Reference55 articles.

1. BolmeDS BeveridgeJR DraperBA LuiYM.Visual object tracking using adaptive correlation filters. Paper presented at: IEEE Computer Society Conference on Computer Vision and Pattern Recognition;2010;San Francisco CA.

2. GaloogahiHK FaggA LuceyS.Learning background‐aware correlation filters for visual tracking. Paper Presented at: IEEE International Conference on Computer Vision;2017;Venice Italy.

3. ChoiJ ChangHJ YunS FischerT DemirisY ChoiJY.Attentional correlation filter network for adaptive visual tracking. Paper Presented at: IEEE Conference on Computer Vision and Pattern Recognition;2017;Honolulu HI.

4. A visual tracking method via object detection based on deep learning;Tang C;Infrared Laser Eng,2018

5. Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors

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