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 most correlation filter target tracking algorithms, poor accuracy in the tracking process for
complex field images of the target and scale change problems. To address these issues, this …

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 …

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 …

To solve the problem of target occlusion in kernel correlation filter, the paper proposes a
target tracking algorithm based on kernel correlation filter with anti-occlusion mechanism. It …

To solve the tracking failure problem of the Kernelized Correlation Filter (KCF) algorithm due
to occlusion, the KCF-AO algorithm which uses the confidence of the response graph to …

In order to solve the problems of illumination variation, scale variety and target occlusion
during the process of tracking, the traditional kernel correlation filter tracking algorithm uses …

When the color of the target is similar to the color of the background or illumination of a
scene, scale, and shape of the target change significantly, the traditional kernel-correlated …

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 …

The purpose of visual tracking is to associate the target object in a continuous video frame.
In recent years, the method based on the kernel correlation filter has become the research …