ITM Web Conf.
Volume 45, 20222021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|Number of page(s)||7|
|Section||Computer Technology and System Design|
|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: firstname.lastname@example.org
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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