Aiming at the problem that KCF tracking algorithm might decrease the tracking performance
or even tracks unsuccessfully in the occlusion scene, an anti-occlusion model adaptation …

The algorithm based on kernel correlation filtering shows excellent performance. Aiming at
the problem that traditional correlation filtering algorithms are sensitive to deformation and …

The tracking method for the relevant filter cannot track when the target is affected by the
background and in the scene of occlusion. We propose a target tracking algorithm based on …

Tracking fast-moving targets with high accuracy is a challenging task in the field of target
tracking. The speed of the algorithm should be taken into consideration when it is used in a …

Target tracking has also received a great deal of attention from society. The basic problem of
a target tracking algorithm is to select a target of interest in a video or image sequence, and …

Aiming at the problem of tracking instability caused by imperfect feature expression and
variable scale, an improved KCF algorithm is proposed in this paper. Firstly, HOG and MB …

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

To tackle the problem of target scale changed, too monotonous target feature, or track
cumulative errors in Kernelized correlation filters (KCF), the paper proposes a self-adaptive …