[HTML][HTML] Multi-object tracking in traffic environments: A systematic literature review

DM Jiménez-Bravo, ÁL Murciego, AS Mendes… - Neurocomputing, 2022 - Elsevier
The use of computer vision techniques to detect objects in images has grown in recent
years. These techniques are especially useful to automatically extract and analyze …

Literature survey on multi-camera system and its application

AS Olagoke, H Ibrahim, SS Teoh - IEEE Access, 2020 - ieeexplore.ieee.org
A multi-camera system combines features from different cameras to exploit a scene of an
event to increase the output image quality. The combination of two or more cameras …

Rest: A reconfigurable spatial-temporal graph model for multi-camera multi-object tracking

CC Cheng, MX Qiu, CK Chiang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Multi-Camera Multi-Object Tracking (MC-MOT) utilizes information from multiple
views to better handle problems with occlusion and crowded scenes. Recently, the use of …

Heterogeneous association graph fusion for target association in multiple object tracking

H Sheng, Y Zhang, J Chen, Z Xiong… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Tracking-by-detection is one of the most popular approaches to tracking multiple objects in
which the detector plays an important role. Sometimes, detector failures caused by …

Lmgp: Lifted multicut meets geometry projections for multi-camera multi-object tracking

DMH Nguyen, R Henschel… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Multi-Camera Multi-Object Tracking is currently drawing attention in the computer
vision field due to its superior performance in real-world applications such as video …

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 …

Tracking by prediction: A deep generative model for mutli-person localisation and tracking

T Fernando, S Denman, S Sridharan… - 2018 IEEE Winter …, 2018 - ieeexplore.ieee.org
Current multi-person localisation and tracking systems have an over reliance on the use of
appearance models for target re-identification and almost no approaches employ a …

Semi-online multi-people tracking by re-identification

L Lan, X Wang, G Hua, TS Huang, D Tao - International Journal of …, 2020 - Springer
In this paper, we propose a novel semi-online approach to tracking multiple people. In
contrast to conventional offline approaches that take the whole image sequence as input …

Online inter-camera trajectory association exploiting person re-identification and camera topology

N Jiang, SC Bai, Y Xu, C Xing, Z Zhou… - Proceedings of the 26th …, 2018 - dl.acm.org
Online inter-camera trajectory association is a promising topic in intelligent video
surveillance, which concentrates on associating trajectories belong to the same individual …

Mmptrack: Large-scale densely annotated multi-camera multiple people tracking benchmark

X Han, Q You, C Wang, Z Zhang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Multi-camera tracking systems are gaining popularity in applications that demand high-
quality tracking results, such as frictionless checkout. In cluttered and crowded …