High-Order Multiple Kernelized Correlation Filter in Tensor for Visual Tracking-Reference-Cited by-同舟云学术

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High-Order Multiple Kernelized Correlation Filter in Tensor for Visual Tracking

Published:2024-01-19 Issue: Volume: Page:1-5
ISSN:
Container-title:Proceedings of the International Conference on Computer Vision and Deep Learning
language:
Short-container-title:

Author:

Deng Lizhen¹^ORCID,Zhang Rui¹^ORCID,Wang Zhongyang¹^ORCID,Xu Guoxia¹^ORCID,Zhu Hu¹^ORCID

Affiliation:

1. School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3653781.3653796

Reference38 articles.

1. A.Bibi and B.Ghanem. 2017. High Order Tensor Formulation for Convolutional Sparse Coding. IEEE International Conference on Computer Vision (2017).

2. A.Mian. 2008. Realtime Visual Tracking of Aircrafts. Digital Image Computing: Techniques and Applications (2008).

3. A. Bibi and B. Ghanem. 2017. High Order Tensor Formulation for Convolutional Sparse Coding. 2017 IEEE International Conference on Computer Vision (ICCV) (2017).

4. Visual object tracking using adaptive correlation filters

5. G.Bleser and D.Strieker. 2009. Advanced tracking through efficient image processing and visual-inertial sensor fusion. 2008 IEEE Virtual Reality Conference (2009).

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