Aiming at the problems of kernelized correlation filter tracking algorithm such as scale
change, severe occlusion and tracking failure under similar target tracking, a long-term …

Tracking and grasping moving objects are hot topics in the field of robots, which provides
great potential in the industrial scene and human–computer cooperation. Based on the …

Over years correlation filter-based trackers have proved their worth with their increased
efficiency and increased computation speed. Kernelized Correlation Filter (KCF) was one …

Omnidirectional vision can solve the problem that the tracking object easily lost in
perspective vision with narrow sight. In this paper, we propose a tracking method based on …

This article mainly solves the problems that exist when using the Kernel Correlation Filter
(KCF) for tracking in complex scenarios. To make the algorithm suitable for target tracking …

This paper proposes an effective anti-occlusion target tracking algorithm based on template
filtering. First, The location correlation filters are constructed to determine the target center …

Focusing on the issue that the kernel correlation filter tracking method can not accurately
adapt to the target scale change, a scale estimation method is added under the kernel …

In order to solve the problems of illumination variation, scale variety and target occlusion
during the process of tracking, the traditional kernel correlation filter tracking algorithm uses …

Tracking target in fisheye camera is getting increasing interest and wide applications.
However, due to the special imaging principle of the fisheye lens, videos shoot by fisheye …

Recently, Kernel Correlation Filter (KCF) has achieved great attention in visual tracking filed,
which provide excellent tracking performance and high possessing speed. However, how to …