An Improved Kernelized Correlation Filter Based Visual Tracking Method
Joint Authors
Shi, Pengfei
Zhu, Jinxiu
Zhang, Xue
Ni, Jianjun
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Correlation filter based trackers have received great attention in the field of visual target tracking, which have shown impressive advantages in terms of accuracy, robustness, and speed.
However, there are still some challenges that exist in the correlation filter based methods, such as target scale variation and occlusion.
To deal with these problems, an improved kernelized correlation filter (KCF) tracker is proposed, by employing the GM(1,1) grey model, the interval template matching method, and multiblock scheme.
In addition, a strict template update strategy is presented in the proposed method to accommodate the appearance change and avoid template corruption.
Finally, some experiments are conducted.
The proposed method is compared with the top state-of-the-art trackers, and all the tracking algorithms are evaluated on the object tracking benchmark.
The experimental results demonstrate obvious improvements of the proposed KCF-based visual tracking method.
American Psychological Association (APA)
Ni, Jianjun& Zhang, Xue& Shi, Pengfei& Zhu, Jinxiu. 2018. An Improved Kernelized Correlation Filter Based Visual Tracking Method. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208613
Modern Language Association (MLA)
Ni, Jianjun…[et al.]. An Improved Kernelized Correlation Filter Based Visual Tracking Method. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1208613
American Medical Association (AMA)
Ni, Jianjun& Zhang, Xue& Shi, Pengfei& Zhu, Jinxiu. An Improved Kernelized Correlation Filter Based Visual Tracking Method. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208613
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208613