[HTML][HTML] Multi-object multi-camera tracking based on deep learning for intelligent transportation: A review

L Fei, B Han - Sensors, 2023 - mdpi.com
Multi-Objective Multi-Camera Tracking (MOMCT) is aimed at locating and identifying
multiple objects from video captured by multiple cameras. With the advancement of …

Segment Anything Model for Road Network Graph Extraction

C Hetang, H Xue, C Le, T Yue… - Proceedings of the …, 2024 - openaccess.thecvf.com
We propose SAM-Road an adaptation of the Segment Anything Model (SAM) for extracting
large-scale vectorized road network graphs from satellite imagery. To predict graph …

Multi-vehicle multi-camera tracking with graph-based tracklet features

TT Nguyen, HH Nguyen, M Sartipi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-target multi-camera tracking (MTMCT) is an important application in intelligent
transportation systems (ITS). The conventional works follow the tracking-by-detection …

Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras

YJ Li, Y Xu, R Khirodkar, J Park, K Kitani - arXiv preprint arXiv:2401.15616, 2024 - arxiv.org
We tackle the task of multi-view, multi-person 3D human pose estimation from a limited
number of uncalibrated depth cameras. Recently, many approaches have been proposed …

Multi-camera multi-person tracking and re-identification in an operating room

H Hu, R Hachiuma, H Saito, Y Takatsume, H Kajita - Journal of Imaging, 2022 - mdpi.com
Multi-camera multi-person (MCMP) tracking and re-identification (ReID) are essential tasks
in safety, pedestrian analysis, and so on; however, most research focuses on outdoor …

GMT: A Robust Global Association Model for Multi-Target Multi-Camera Tracking

H Fan, T Zhao, Q Wang, B Fan, Y Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
In the task of multi-target multi-camera (MTMC) tracking of pedestrians, the data association
problem is a key issue and main challenge, especially with complications arising from …

[HTML][HTML] STCA: High-Altitude Tracking via Single-Drone Tracking and Cross-Drone Association

Y Qiao, H Fan, Q Wang, T Zhao, Y Tang - Remote Sensing, 2024 - mdpi.com
In this paper, we introduce a high-altitude multi-drone multi-target (HAMDMT) tracking
method called STCA, which aims to collaboratively track similar targets that are easily …

Lightweight Collaborative Perception at the Edge

I Gokarn, K Jayarajah, A Misra - Artificial Intelligence for Edge Computing, 2023 - Springer
This chapter introduces the paradigm of collaborative edge perception, whereby the sensing
and DNN-based inference pipelines associated with multiple sensor nodes and edge …

Novel approach for pedestrian unusual activity detection in academic environment

KO Hajari, UH Gawande… - IAES International Journal …, 2022 - search.proquest.com
In this paper, we propose an efficient method for the detection of student unusual activity in
the academic environment. The proposed method extracts motion features that accurately …

Robust Cross-Drone Multi-Target Association Using 3D Spatial Consistency

T Pan, H Dong, B Deng, J Gui… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
In this letter, we propose a robust cross-drone multi-target association algorithm that aims to
associate the identities of targets detected by different drones with overlapping FOVs. Unlike …