Regularisation learning of correlation filters for robust visual tracking-Reference-Cited by-同舟云学术

Regularisation learning of correlation filters for robust visual tracking

Published:2018-09 Issue:9 Volume:12 Page:1586-1594
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Jiang Min¹^ORCID,Shen Jianyu¹,Kong Jun¹,Huo Hongtao²

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry, Jiangnan UniversityWuxi214122People's Republic of China

2. Department of Information Security EngineeringPeople's Public Security UniversityBeijing100038People's Republic of China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.1043

Reference33 articles.

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4. 2012 Proc. European Conf. Computer Vision Florence Italy J.F. Henriques R. Caseiro P. Martins Exploiting the circulant structure of tracking‐by‐detection with kernels 702 715

5. High-Speed Tracking with Kernelized Correlation Filters

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