| Issue |
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 7 | |
| Section | Computer Technology and System Design | |
| DOI | https://doi.org/10.1051/itmconf/20224501007 | |
| Published online | 19 May 2022 | |
Research on tracking method of moving object under the dynamic background
Nanjing University of Science and Technology, School of Automation, Nanjing, China
* Corresponding author: 2833716006@qq.com
In order to solve the problem that the traditional moving target tracking algorithm is vulnerable to interference and difficult to accurately track the target for a long time, we first introduce the common target tracking algorithm under the dynamic background, and then we determine the KCF algorithm which has better tracking effect and real-time performance. Then, aiming at the problem of target box offset in the longtime tracking, a tracking algorithm combining Kalman filter algorithm and KCF algorithm is proposed. Finally, the actual effect proves to be effective.
Key words: Moving target tracking algorithm / Kalman filter algorithm / KCF algorithm
© The Authors, published by EDP Sciences, 2022
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