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 …

This survey covers an in-depth review of the state-of-the-art research on Multi-Object
Tracking (MOT) from research articles published in 2019 or later in top-tier journals and …

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 …

Multi-object tracking (MOT) detects multiple targets in an image and assigns a unique
identifier to each target. However, challenges such as rapid motion, occlusion, and camera …

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 …

Models based on joint detection and re-identification (ReID), which significantly increase the
efficiency of online multi-object tracking (MOT) systems, are an evolution from separate …

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 …