[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 …
multiple objects from video captured by multiple cameras. With the advancement of …
Segment Anything Model for Road Network Graph Extraction
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 …
large-scale vectorized road network graphs from satellite imagery. To predict graph …
Multi-vehicle multi-camera tracking with graph-based tracklet features
Multi-target multi-camera tracking (MTMCT) is an important application in intelligent
transportation systems (ITS). The conventional works follow the tracking-by-detection …
transportation systems (ITS). The conventional works follow the tracking-by-detection …
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras
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 …
number of uncalibrated depth cameras. Recently, many approaches have been proposed …
Multi-camera multi-person tracking and re-identification in an operating room
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 …
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
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 …
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
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 …
method called STCA, which aims to collaboratively track similar targets that are easily …
Lightweight Collaborative Perception at the Edge
This chapter introduces the paradigm of collaborative edge perception, whereby the sensing
and DNN-based inference pipelines associated with multiple sensor nodes and edge …
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 …
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 …
associate the identities of targets detected by different drones with overlapping FOVs. Unlike …