When the theodolite in the shooting-range tracks the target in real time, the theodolite may
randomly jitter, causing the target a large displacement on the next frame. While dealing with …

Various places in life are related to target tracking. In order to ensure that the tracked objects
can be correctly identified, the accuracy of the algorithm needs to be continuously improved …

In the actual engineering applications, the loitering missile seeker has a larger velocity to
height ratio (V/H), the sensor imaging scene changes quickly, and the flight environment is …

In order to improve the robustness and speed of single target tracking, this paper proposes
an improved tracking learning method. The purpose is to improve the tracking module in the …

Aiming at the problem that the KCF algorithm cannot adaptively track the object and even
the object may be lost when the object scale changes, this paper proposes a kernel …

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 …

Visual object tracking is an important issue that has received long-term attention in computer
vision. The ability to effectively handle occlusion, especially severe occlusion, is an …

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 …

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 …

As one of the core content of intelligent monitoring, target detection and tracking is the basis
for video content analysis and understanding. Tracking-Learning-Detection is considered as …