Infrared moving target tracking plays a fundamental role in many burgeoning research areas
of Smart City. Challenges in developing a suitable tracker for infrared images are particularly …

Correlation Filter (CF) based algorithms play an important role in the field of Visual Object
Tracking (VOT) due to their high accuracy and low computational complexity. While existing …

The discriminative correlation filters-based methods struggle deal with the problem of fast
motion and heavy occlusion, the problem can severely degrade the performance of trackers …

With the increasing availability of low-cost, commercially available unmanned aerial
vehicles (UAVs), visual tracking using UAVs has become more and more important due to its …

The achievement of rapid and reliable image object tracking has long been crucial and
challenging for the advancement of image-guided technology. This study investigates real …

Target tracking is one of the most concerned computer problems, but it is also challenging
with few training samples, fast moving objects and some other issues. The kernelized …

Deep learning-based methods have recently attracted significant attention in visual tracking
community, leading to an increase in state-of-the-art tracking performance. However, due to …

Robust visual tracking is a significant and challenging issue in computer vision-related
research fields and has attracted an immense amount of attention from researchers. Due to …

This study is to explore the gesture recognition and behavior tracking in swimming motion
images under computer machine vision and to expand the application of moving target …

Object tracking is an important research direction in computer vision and is widely used in
video surveillance, security monitoring, video analysis and other fields. Conventional …