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 …

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 …

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 …

The traditional kernel correlation filter (KCF) algorithm has poor tracking results in complex
scenes with severe occlusion, deformation, and low resolution and cannot achieve long …

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 …

At present, target tracking technology is a popular computer vision technology, which is of
great significance in people's production and life. But there are still some important and …

In order to solve the interference of similar background to object tracker in ground battlefield
environment, an object tracking algorithm combining correlation filtering and improved color …

In the target tracking algorithm, extracting features from images is a vital link. By extracting
the features of the tracking target and the surrounding area samples, the higher the similarity …

We proposed an adaptive kernel based correlation filter algorithm (AKCF) for object tracking.
The algorithm includes two filters: a translation filter and a scale filter. In our method, we …

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 …