Laser weapons and laser three-dimensional imaging require high precision in target
tracking, at the same time, it also need to face the situation where the target is interfered by …

The tracking of moving targets has important research significance and practical benefit in
the field of drone tracking. In this paper, the target tracking we focus on is the general single …

Aiming at the problem of severe accuracy degradation in the traditional KCF (Kernel
correlation filter) target tracking algorithm in a complex environment, we propose an …

The Kernel Correlation Filtering Algorithm (KCF) is one of the popular algorithms in the field
of target tracking. It has been widely used in many fields because of its advantages in …

In order to deal with the issues of stable tracking of moving targets under the occlusion
situation, an improved kernel correlation filter is proposed in this paper. Color features can …

In the actual engineering applications, the loitering missile seeker has a larger velocity to
height ratio (V/H), the sensor imaging scene changes quickly, and the flight environment is …

In the classical kernel correlated target tracking algorithms, most of them initialize the target
detector by importing the manually marked targets. Moreover, the anti-occlusion ability of the …

The Kernel Correlation Filter Tracking Algorithm (KCF) is a lightweight tracking algorithm
with the advantages of fast tracking speed and good effect. However, when the target is …

When the theodolite in the shooting-range tracks the target in real time, the theodolite may
randomly jitter, causing the target a large displacement on the next frame. While dealing with …

In the process of long-time object tracking based on LCT, aiming at the problems of re
detection after tracking failure in the case of scale change, background similar interference …