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 …

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 …

Recently, kernelized correlation filter (KCF) has been a popular tracker for high accuracy
and robustness with high speed. However, KCF tracks objects with a fixed size template …

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 …

Tracking with kernelized correlation filters (KCF) is an excellent object tracking algorithm,
which is widely concerned. In KCF, each candidate patch in tracked region corresponds to a …

Target tracking is a hotpot issue in computer vision. This study proposed a robust tracking
algorithm based on kernel correlation filter and multi-feature fusion. Firstly, an effective …

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 …

Support correlation filter tracking method uses cyclic sampling to transform the calculation
into frequency domain, which solves the problems of sampling and large computation of …

Visual tracking is a key research area in computer vision, as tracking technology is
increasingly being applied in daily life, it has high-research significance. Visual tracking …

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 …