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 …

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 …

In the real scene, the target itself and the background will be unpredictable changes, such
as the occlusion and other factors will bring greater challenges to the object tracking. In this …

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 …

We propose an improved object tracking algorithm based on kernelized correlation filter
(KCF), which can overcome the drawback of traditional KCF algorithms in that they cannot …

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 …

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 …

Focusing on the issue that the conventional Kernel Correlation Filter (KCF) algorithm has
poor performance in handling scale change and obscured objects, this paper proposes an …

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 order to improve the tracking accuracy and success rate of correlation filtering algorithm in
the case of severe occlusion and background interference, a correlation particle filter target …