The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

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 …

To track the 3D locations and trajectories of the other traffic participants at any given time,
modern autonomous vehicles are equipped with multiple cameras that cover the vehicle's …

We present a robust multi-camera gymnast tracking, which has been applied at international
gymnastics championships for gymnastics judging. Despite considerable progress in multi …

Multi-view multi-human association and tracking (MvMHAT), is an emerging yet important
problem for multi-person scene video surveillance, aiming to track a group of people over …

Multi-camera multiple people tracking has become an increasingly important area of
research due to the growing demand for accurate and efficient indoor people tracking …

The ability to capture detailed interactions among individuals in a social group is
foundational to our study of animal behavior and neuroscience. Recent advances in deep …

This paper presents an indoor person localization and tracking system that uses multiple
smart cameras equipped with artificial intelligence (AI) accelerators serving as edge …

Contrast enhancement manipulation is a common method to improve the visual effect of an
image. Meanwhile, it can also be considered a type of global image forgery because it …

Regular unsupervised domain adaptive person re-identification (ReID) focuses on adapting
a model from a source domain to a fixed target domain. However, an adapted ReID model …