Multiple object tracking gained a lot of interest from researchers in recent years, and it has
become one of the trending problems in computer vision, especially with the recent …

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 …

Multiobject tracking (MOT) is the problem of tracking the state of an unknown and time-
varying number of objects using noisy measurements, with important applications, such as …

Object tracking has gained importance in various applications especially in traffic
monitoring, surveillance and security, people tracking, etc. Previous methods of multiobject …

In the area of neural rendering-based novel view synthesis, illumination is important since
shadows cast by objects under various light sources provide indications about their …

Nitrocellulose is a highly combustible substance that is extensively utilized in creating a
variety of products, making the appropriate handling and storage of this material vital for …

Real-time multiple object tracking plays a pivotal role in autonomous driving applications,
particularly in real-world applications. Current methods in various domains often face an …

Semantic segmentation has been one of the most critical tasks in computer vision. Recent
works mainly focus on improving segmentation performance by designing high-capacity …

Multi-object tracking (MOT) is the task of estimating the state trajectories of an unknown and
time-varying number of objects over a certain time window. Several algorithms have been …

Accurate and real-time acquisition of vehicular system dynamic states, road surface
conditions, and motion states of surrounding participants is crucial for the safety, passenger …