[HTML][HTML] Multi-camera multi-object tracking: a review of current trends and future advances

TI Amosa, P Sebastian, LI Izhar, O Ibrahim, LS Ayinla… - Neurocomputing, 2023 - Elsevier
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 …

The 7th ai city challenge

M Naphade, S Wang, DC Anastasiu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …

Recent advances in embedding methods for multi-object tracking: a survey

G Wang, M Song, JN Hwang - arXiv preprint arXiv:2205.10766, 2022 - arxiv.org
Multi-object tracking (MOT) aims to associate target objects across video frames in order to
obtain entire moving trajectories. With the advancement of deep neural networks and the …

Exploit the connectivity: Multi-object tracking with trackletnet

G Wang, Y Wang, H Zhang, R Gu… - Proceedings of the 27th …, 2019 - dl.acm.org
Multi-object tracking (MOT) is an important topic and critical task related to both static and
moving camera applications, such as traffic flow analysis, autonomous driving and robotic …

The devil is in the details: Self-supervised attention for vehicle re-identification

P Khorramshahi, N Peri, J Chen… - Computer Vision–ECCV …, 2020 - Springer
In recent years, the research community has approached the problem of vehicle re-
identification (re-id) with attention-based models, specifically focusing on regions of a …

Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning

HF Yang, J Cai, C Liu, R Ke, Y Wang - Transportation research part C …, 2023 - Elsevier
Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …

Track without appearance: Learn box and tracklet embedding with local and global motion patterns for vehicle tracking

G Wang, R Gu, Z Liu, W Hu, M Song… - Proceedings of the …, 2021 - openaccess.thecvf.com
Vehicle tracking is an essential task in the multi-object tracking (MOT) field. A distinct
characteristic in vehicle tracking is that the trajectories of vehicles are fairly smooth in both …

City-scale multi-camera vehicle tracking guided by crossroad zones

C Liu, Y Zhang, H Luo, J Tang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Multi-Target Multi-Camera Tracking has a wide range of applications and is the
basis for many advanced inferences and predictions. This paper describes our solution to …

Rodnet: Radar object detection using cross-modal supervision

Y Wang, Z Jiang, X Gao, JN Hwang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Radar is usually more robust than the camera in severe driving scenarios, eg, weak/strong
lighting and bad weather. However, unlike RGB images captured by a camera, the semantic …

Multi-camera vehicle tracking system for ai city challenge 2022

F Li, Z Wang, D Nie, S Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Multi-Target Multi-Camera tracking is a fundamental task for intelligent traffic
systems. The track 1 of AI City Challenge 2022 aims at the city-scale multi-camera vehicle …