Improvement of Kernel Correlation Filtering Algorithm Based on Kalman Filter-Reference-Cited by-同舟云学术

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Improvement of Kernel Correlation Filtering Algorithm Based on Kalman Filter

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 17th International Conference on Control & Automation (ICCA)
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Author:

Shi Guoqing¹,Zhang Boyan¹,Geng Xiutang²,Liu Yunzhou³,Chai Xiaojin¹

Affiliation:

1. Northwestern Polytechnical University,School of Electronics And Information,Xi’an,CHN,710072

2. Northwest Institute of Mechanical & Electrical Engineering,Xianyang,CHN,712000

3. China State Shipbuilding Corporation Limited,The 705 Research Institute,Xi’an,CHN,710077

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9831427/9831807/09831886.pdf?arnumber=9831886

Reference20 articles.

1. Tracking-Learning-Detection

2. Long-term correlation tracking

3. Learning Multi-domain Convolutional Neural Networks for Visual Tracking

4. Modeling and Propagating CNNs in a Tree Structure for Visual Tracking;nam;Proc IEEE Conference on Computer Vision and Pattern Recognition,2016

5. Fully-Convolutional Siamese Networks for Object Tracking;bertinetto;Proc European Conference on Computer Vision ECCV,2016

Cited by 1 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. A Novel TBD Method for Non-Cooperative Bistatic Radar Based on Kernel Correlation Filtering;2023 International Applied Computational Electromagnetics Society Symposium (ACES-China);2023-08-15

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