[HTML][HTML] Multi-camera multi-object tracking: a review of current trends and future advances
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 …
applications makes it a significant computer vision problem. While visual tracking of objects …
Deep learning-based person re-identification methods: A survey and outlook of recent works
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 …
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …
Multi-camera people tracking with mixture of realistic and synthetic knowledge
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-Camera People Tracking in indoor scenarios. The proposed framework comprises four …
Efficient online multi-camera tracking with memory-efficient accumulated appearance features and trajectory validation
LQ Tran, HD Vi - Proceedings of the IEEE/CVF Conference …, 2024 - openaccess.thecvf.com
Multi-camera tracking (MCT) plays a crucial role in various computer vision applications.
However accurate tracking of individuals across multiple cameras faces challenges …
However accurate tracking of individuals across multiple cameras faces challenges …
Multi-target multi-camera tracking of vehicles using metadata-aided re-id and trajectory-based camera link model
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 …
of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based …
Self-supervised multi-view multi-human association and tracking
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 …
over time in each view, as well as to identify the same person across different views at the …
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios
Multi-target multi-camera tracking is crucial to intelligent transportation systems. Numerous
recent studies have been undertaken to address this issue. Nevertheless, using the …
recent studies have been undertaken to address this issue. Nevertheless, using the …
Multi-target multi-camera tracking with optical-based pose association
Multi-target multi-camera tracking (MTMCT) targets to generate trajectories of the object that
appeared under multiple cameras automatically. MTMCT can be treated as a combination of …
appeared under multiple cameras automatically. MTMCT can be treated as a combination of …
Unveiling the Power of Self-supervision for Multi-view Multi-human Association and Tracking
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 …
problem for multi-person scene video surveillance, aiming to track a group of people over …