Long‐time target tracking algorithm based on re‐detection multi‐feature fusion-Reference-Cited by-同舟云学术

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Long‐time target tracking algorithm based on re‐detection multi‐feature fusion

Published:2022-03 Issue:1 Volume:4 Page:38-50
ISSN:2631-6315
Container-title:IET Cyber-Systems and Robotics
language:en
Short-container-title:IET Cyber-Syst and Robotics

Author:

Qu Junsuo¹^ORCID,Tang Chenxue¹,Zhang Yuan²,Zhou Kai²,Razi Abolfazl³

Affiliation:

1. School of Automation Xi'an Key Laboratory of Advanced Control and Intelligent Process Xi'an University of Posts and Telecommunications Xi'an Shaanxi China

2. School of Communication and Information Engineering Xi'an University of Posts and Telecommunications Xi'an Shaanxi China

3. School of Informatics, Computing and Cyber Systems Northern Arizona University Flagstaff AZ USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/csy2.12042

Reference21 articles.

1. ICCV 2017 international conference on computer vision;Artificial Intelligence;NewsRx Health & Sci.,2017

2. Object Tracking Benchmark

3. Visual object tracking using adaptive correlation filters

4. MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing

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