In recent years, YOLOv5 networks have become a research focus in many fields because
they are capable of outperforming state-of-the-art (SOTA) approaches in different computer …

Multi-object tracking (MOT) is an important problem in computer vision that has a wide range
of applications. Currently, object occlusion detecting is still a serious challenge in multi …

Human-robot interaction (HRI) has become a crucial enabler in houses and industries for
facilitating operational flexibility. When it comes to mobile collaborative robots, this flexibility …

Abstract Video Object Detection and Tracking (VODT), one of its integral operations of
surveillance system in present time, mechanizes a way to identify and track the target object …

Target tracking is an important application of unmanned aerial vehicles (UAVs). The
template is the identity of the target and has a great impact on the performance of target …

Aiming at the problem of insufficient tracking accuracy caused by object occlusion in the
process of multi-object tracking, this paper proposes a multi-order semantic fusion …

The purpose of multi-object tracking (MOT) is to continuously track and identify objects
detected in videos. Currently, most methods for multi-object tracking model the motion …

Recently, one-shot trackers, which integrate multi-tasks into a unified network, achieve good
performances in multi-object video tracking and successfully handle the core challenge of …

The key problem of real-time tracking is to achieve the balance between the tracking
accuracy and real-time inference. Currently, the one-shot tracker, which joins multiple tasks …

In response to the challenges in data association arising from semantic conflicts between
detection and re-identification tasks, as well as the difficulty in capturing long-range …