Aggregating Correlation Filter with Multiple Kernels Learning for Robust Visual Object Tracking-Reference-Cited by-同舟云学术

Aggregating Correlation Filter with Multiple Kernels Learning for Robust Visual Object Tracking

Published:2022-03-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Computing and Artificial Intelligence
language:
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Author:

Wei Yanxia¹,Xiao Hairong²,Feng Deying¹,Mu Jian¹,Yang Jie³

Affiliation:

1. School of Mechanical and Automotive Engineering, Liaocheng University, China and Key Laboratory of System Control and Information Processing, Ministry of Education, China

2. Liaocheng University, China

3. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China and Key Laboratory of System Control and Information Processing, Ministry of Education, China

Funder

Open Project of Key Laboratory of System Control and Information Processing Ministry of Education

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

PhD Research Startup Foundation of Liaocheng University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3532213.3532305

Reference30 articles.

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4. D. S. Bolme J. R. Beveridge B. A. Draper and Y. M. Lui. 2010. Visual Object Tracking Using Adaptive Correlation Filters. In 2010 IEEE computer society conference on computer vision and pattern recognition pp. 2544-2550. D. S. Bolme J. R. Beveridge B. A. Draper and Y. M. Lui. 2010. Visual Object Tracking Using Adaptive Correlation Filters. In 2010 IEEE computer society conference on computer vision and pattern recognition pp. 2544-2550.

5. High-Speed Tracking with Kernelized Correlation Filters