Graph optimized data offloading for crowd-ai hybrid urban tracking in intelligent transportation systems

P Wang, Y Pan, C Lin, H Qi, J Ren… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Urban tracking plays a vital role for people's urban life in intelligent transportation systems,
eg, public safety, case investigation, finding missing items, etc. However, the current tracking …

Vehicle inertial tracking via mobile crowdsensing: Experience and enhancement

Y Tong, S Zhu, X Ren, Q Zhong, D Tao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Nowadays, GPS and other global navigation satellite systems (GNSSs) have been widely
developed, enabling accurate and convenient outdoor location-based services for vehicles …

A lightweight online multiple object vehicle tracking method

G Gündüz, T Acarman - 2018 IEEE Intelligent Vehicles …, 2018 - ieeexplore.ieee.org
In this paper, multiple-object vehicle tracking system by affinity matching using min-cost
linear cost assignment is proposed. This tracking system is targeted to scene recordings …

UAV-aided urban target tracking system based on edge computing

Y Liu, C Zhu, X Deng, P Guan, Z Wan, J Luo… - arXiv preprint arXiv …, 2019 - arxiv.org
Target tracking is an important issue of social security. In order to track a target, traditionally
a large amount of surveillance video data need to be uploaded into the cloud for processing …

CrowdTracker: Optimized urban moving object tracking using mobile crowd sensing

Y Jing, B Guo, Z Wang, VOK Li… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
This paper proposes CrowdTracker, a novel object tracking system based on mobile crowd
sensing (MCS). Different from traditional video-based object tracking approaches …

Efficient visual tracking based on fuzzy inference for intelligent transportation systems

S Liu, S Huang, X Xu, J Lloret… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Remote monitoring is an important application of intelligent transportation systems (ITSs).
The combination of monitoring equipment and tracking algorithms can be used to …

Multiple vehicles and people tracking in aerial imagery using stack of micro single-object-tracking cnns

R Bahmanyar, SM Azimi… - … Archives of the …, 2019 - isprs-archives.copernicus.org
Geo-referenced real-time vehicle and person tracking in aerial imagery has a variety of
applications such as traffic and large-scale event monitoring, disaster management, and …

Efficient Joint Deployment of Multi-UAVs for Target Tracking in Traffic Big Data

L Sun, J Wang, J Wang, L Lin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Accidents are inevitable in the transportation systems; however, harnessing the big data
generated from traffic accidents can significantly enhance the intelligence of the …

Moving Camera‐Based Object Tracking Using Adaptive Ground Plane Estimation and Constrained Multiple Kernels

T Liu, Y Liu - Journal of Advanced Transportation, 2021 - Wiley Online Library
Moving camera‐based object tracking method for the intelligent transportation system (ITS)
has drawn increasing attention. The unpredictability of driving environments and noise from …

Fast online tracking with detection refinement

J Shen, D Yu, L Deng, X Dong - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Most of the existing multiple object tracking (MOT) methods employ the tracking-by-detection
framework. Among them, the min-cost network flow optimization techniques become the …