A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking-Reference-Cited by-同舟云学术

A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking

Published:2022 Issue: Volume:10 Page:24690-24703
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Javed Sajid¹^ORCID,Mahmood Arif²^ORCID,Ullah Ihsan³^ORCID,Bouwmans Thierry⁴,Khonji Majid¹^ORCID,Dias Jorge Manuel Miranda¹^ORCID,Werghi Naoufel¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

2. Department of Computer Science, Information Technology University, Lahore, Pakistan

3. School of Computer Science, National University of Ireland Galway, Galway, Ireland

4. Laboratoire MIA, La Rochelle Université, La Rochelle, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09723062.pdf?arnumber=9723062

Reference81 articles.

1. Convolutional Features for Correlation Filter Based Visual Tracking

2. Target-Aware Deep Tracking

3. Visual Tracking via Dynamic Graph Learning

4. ECO: Efficient Convolution Operators for Tracking

5. Context-Aware Deep Feature Compression for High-Speed Visual Tracking

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TGLC: Visual object tracking by fusion of global-local information and channel information;Multimedia Tools and Applications;2024-03-28

2. Robust object tracking via ensembling semantic‐aware network and redetection;IET Computer Vision;2023-06-24

3. UTB180: A High-Quality Benchmark for Underwater Tracking;Computer Vision – ACCV 2022;2023

4. Person Monitoring by Full Body Tracking in Uniform Crowd Environment;Advances in Data-Driven Computing and Intelligent Systems;2023

5. A Review on Deep Learning Approaches for Histopathology Breast Cancer Classification;Lecture Notes in Networks and Systems;2023