Visual tracking is a fundamental task in computer vision with significant practical
applications in various domains, including surveillance, security, robotics, and human …

The early detection of handguns and knives from surveillance videos is crucial to enhance
people's safety. Despite the increasing development of Deep Learning (DL) methods for …

Tracking and segmenting small targets in remote sensing videos on edge devices carries
significant engineering implications. However, many semi-supervised video object …

Despite the remarkable empirical success for UAV object tracking, current convolutional
networks usually have three unavoidable limitations:(1) The feature maps produced by …

Abstract Recently, Vision Transformer (ViT) has exhibited remarkable performances in many
computer vision tasks (eg object detection, segmentation and tracking). However, the output …

In this paper, we first investigate the phenomenon of the spatial-temporal initialization
dilemma towards realistic visual tracking, which may adversely affect tracking performance …

Discriminative correlation filters (DCF) have achieved much success in visual tracking.
However, most of them simply rely on the features extracted by the last layer of the …

The tracking framework based on the memory network has gained significant attention due
to its enhanced adaptability to variations in target appearance. However, the performance of …

This thesis explores the development of advanced deep learning (DL)-based monitoring
systems for real-time image and video analysis in indoor environments, following the edge …

Aiming at problems such as tracking failure caused by illumination changes often
encountered during unmanned aerial vehicle (UAV) tracking, a target tracking algorithm with …