In this paper, a tracking algorithm based on collaborative learning Kernelized Correlation
Filter is proposed. According to the framework of KCF, two trackers based on HoG and CN …

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 …

Aiming at the problem that the traditional kernel correlation filter (KCF) tracking algorithm
cannot re-detect the target, when the target is missing due to illumination variation, severe …

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 …

As an important field of computer vision, target tracking has been widely used in artificial
intelligence fields such as intelligent manufacturing and intelligent transportation. As one of …

The efficient and accurate tracking of a target in complex scenes has always been one of the
challenges to tackle. At present, the most effective tracking algorithms are basically neural …

Computer vision technologies are very attractive for practical applications running on
embedded systems. For such applications, it is desirable for the deployed algorithms to run …

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 …

There are various problems in the current target tracking of satellite videos, such as the
small size of moving targets, few textures, and easy occlusion. To solve the problem of …

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 …