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 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 …

Aiming at the problem that the traditional correlation filter tracking algorithm is prone to
tracking failure under the target's scale change and occlusion environment, we propose a …

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 …

Recently, Kernel Correlation Filter (KCF) is recognized as one of the best visual tracking
algorithms which provide excellent tracking performance and high possessing speed …

Due to the real-time tracking and location accuracy of the kernel correlation filtering (KCF)
algorithm, this method is now widely used in object tracking tasks. However, whether KCF or …

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 …

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 …

This article mainly solves the problems that exist when using the Kernel Correlation Filter
(KCF) for tracking in complex scenarios. To make the algorithm suitable for target tracking …

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 …