In this paper, a scale adaptive target tracking algorithm based on deep residual network and
kernel correlation filter is proposed. Although kernel correlation filter is a fast and effective …

In recent years, Kernel Correlation Filter (KCF) has been a highlight topic due to its excellent
performance on visual tracking tasks in real-scenes. However, fixed search boxes which are …

In order to improve the robustness and the speed of single target tracking, this paper
proposes an improved Tracking Learning Detection method. By modifying the tracking …

This paper proposes an intelligent and fast tracking method for robust trackability against
appearance changes. The method hybridizes a correlation-based tracking algorithm …

Video tracking technology employed to achieve efficient and accurate tracking of targets in
complex scenes has often been one of the challenges to be tackled. When the target is in a …

A motion model is used to overcome the shortcoming of the low tracking accuracy of a
kernelized correlation filter (KCF) based only on a target appearance model. The …

As one of the most important research directions in computer vision, real-time video object
tracking technology based on online learning has been widely applied in various fields …

In most correlation filter target tracking algorithms, poor accuracy in the tracking process for
complex field images of the target and scale change problems. To address these issues, this …

The tracking approaches based on correlation filter have shown their particular importance
due to the performance superiority from the perspectives of accuracy and speed. However …