In response to the shortcomings of using a single feature to describe targets and the
limitations of target scale invariance in traditional kernel correlation filter tracking algorithms …

Under the scenario of moving target tracking is very important in the fields of computer vision
and research direction, its purpose is to give computer vision, double eye for simulation of …

Image tracking algorithm is the key technology of imaging terminal guidance of missile and
optoelectronic reconnaissance equipment. Its high efficiency and low latency extremely …

In the classical kernel correlated target tracking algorithms, most of them initialize the target
detector by importing the manually marked targets. Moreover, the anti-occlusion ability of the …

Focusing on the issue that the traditional kernelized correlation filter (KCF) has poor
performance in handing heavy occlusion and illumination variations, a long-term KCF …

In order to solve the problem of fixed target size in Kernel Correlation Filtering (KCF) tracker,
a scale adaptive tracking method was proposed. Firstly, the Lucas-Kanade optical flow …

With the continuous development of science and technology, intelligent surveillance
technology using image processing and computer vision is also progressing. To improve the …

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 …

The correlation filtering algorithm determines the target position by the similarity between the
template and the detection target. Since the related filtering concept is used for target …

To achieve high real-time performance and high success rate of the target tracking algorithm
in UAV applications, we propose an improved algorithm based on correlation filtering for …