Research on Background Learning Correlation Filtering Algorithm With Multi-Feature Fusion-Reference-Cited by-同舟云学术

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Research on Background Learning Correlation Filtering Algorithm With Multi-Feature Fusion

Published:2023 Issue: Volume:11 Page:32895-32906
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ren Hongge¹,Xing Leigang²^ORCID,Shi Tao³^ORCID

Affiliation:

1. School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin, China

2. College of Electrical Engineering, North China University of Science and Technology, Tangshan, China

3. School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10083128.pdf?arnumber=10083128

Reference53 articles.

1. A robust target tracking algorithm based on spatial regularization and adaptive updating model

2. Siamese Instance Search for Tracking

3. Visual object tracking using adaptive correlation filters

4. Algorithms Based On Correlation Filter In Target Tracking: A Survey

5. ECO: Efficient Convolution Operators for Tracking

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1. A Novel Background Modeling Based on Keyframe and Particle Shape Property for Surveillance Video;IEEE Access;2023

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