Aiming at the problem that Tracking accuracy of Tracking-Learning-Detection (TLD) tracking
algorithm decreases when targets are under different light and shade conditions and target …

Focusing on the issue that the Kernelized Correlation Filter (KCF) tracking algorithm has
poor performance in handling scale-variant target, a multi-scale tracking algorithm called …

When the color of the target is similar to the color of the background or illumination of a
scene, scale, and shape of the target change significantly, the traditional kernel-correlated …

The tracking–learning–detection (TLD) algorithm applied in the home environment can
effectively improve the tracking robustness. However, it has the problems of single target …

Correlation filter, previously used in object detection and recognition assignment within
single image, has become a popular approach to visual tracking due to its high efficiency …

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 …

Kernel correlation filtering algorithm is based on the concept of correlation filtering. By
introducing methods such as kernel functions and cyclic matrices, the target tracking speed …

In order to solve the interference of similar background to object tracker in ground battlefield
environment, an object tracking algorithm combining correlation filtering and improved color …

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 …

The paper presents a new efficient method for performance evaluation of imaging seeker
tracking algorithm. The method utilizes multi features which associate with tracking point of …