For visual object tracking, most of the traditional correlation filters (CF) based methods suffer
from the bottleneck of feature redundancy and lack of motion information. In this paper, we …

Single-object tracking, also known as visual tracking, on the drone platform attracts much
attention recently with various applications in computer vision, such as filming and …

There is an increasing demand on utilizing camera equipped drones and their applications
in many domains varying from agriculture to entertainment and from sports events to …

Thermal cameras have historically been of interest mainly for military applications.
Increasing image quality and resolution combined with decreasing price and size during …

The target representation learned by convolutional neural networks plays an important role
in Thermal Infrared (TIR) tracking. Currently, most of the top-performing TIR trackers are still …

Existing feature models used in thermal infrared (TIR) tracking struggle to get strong
discriminative features of TIR objects, because TIR image has few details and low contrast …

Background and objectives Surgical procedures such as laparoscopic and robotic surgeries
are popular since they are invasive in nature and use miniaturized surgical instruments for …

Deep learning-based methods monopolize the latest research in the field of thermal infrared
(TIR) object tracking. However, relying solely on deep learning models to obtain better …

The availability of affordable thermal infrared (TIR) camera has instigated its usage in
various research fields, especially for the cases that require images to be captured in dark …

Deep learning requires large amounts of annotated data. Manual annotation of objects in
video is, regardless of annotation type, a tedious and time-consuming process. In particular …