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 …

In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …

In this paper, we propose a novel framework for multi-target multi-camera tracking (MTMCT)
of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based …

Multi-view Multi-human association and tracking (MvMHAT) aims to track a group of people
over time in each view, as well as to identify the same person across different views at the …

This paper presents a solution for Track 1 of the AI City Challenge 2023, which involves
Multi-Camera People Tracking in indoor scenarios. The proposed framework comprises four …

Multi-target multi-camera tracking is crucial to intelligent transportation systems. Numerous
recent studies have been undertaken to address this issue. Nevertheless, using the …

Multi-target multi-camera tracking is a crucial task that involves identifying and tracking
individuals over time using video streams from multiple cameras. This task has practical …

Multi-camera tracking systems are gaining popularity in applications that demand high-
quality tracking results, such as frictionless checkout. In cluttered and crowded …

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 …