Human inertial thinking strategy: A novel fuzzy reasoning mechanism for IoT-assisted visual monitoring
Computer vision has always been a hot field of research by contemporary scholars due to its
wide range of applications. As an important branch of this field, the visual monitoring …
wide range of applications. As an important branch of this field, the visual monitoring …
[HTML][HTML] Monitoring and identification of road construction safety factors via UAV
The safety of road construction is one of the most important concerns of construction
managers for the following reasons: long-span construction operation, no fixed monitoring …
managers for the following reasons: long-span construction operation, no fixed monitoring …
[HTML][HTML] A bivariate, non-stationary extreme value model for estimating opposing-through crash frequency by severity by applying artificial intelligence-based video …
Multivariate extreme value modelling techniques are widely applied to estimate crash risks
from traffic conflicts, with a predominant focus on rear-end crashes. In contrast, the suitability …
from traffic conflicts, with a predominant focus on rear-end crashes. In contrast, the suitability …
Automatic object tracking and segmentation using unsupervised SiamMask
S Noor, M Waqas, MI Saleem, HN Minhas - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper we address the basic limitation of SiamMask-the state of the art single object
tracking and segmentation algorithm. SiamMask requires semi-supervision in that it needs a …
tracking and segmentation algorithm. SiamMask requires semi-supervision in that it needs a …
[HTML][HTML] Estimating crash risk and injury severity considering multiple traffic conflict and crash types: A bivariate extreme value approach
Traffic conflicts are generally considered independent events in existing extreme value
theory models to estimate the risk of total or single types of crashes. However, traffic events …
theory models to estimate the risk of total or single types of crashes. However, traffic events …
Overhead view bus passenger detection and counter using deepsort and tiny-yolo v4
Intelligent Surveillance Systems are increasingly gaining attention as countries build smart
cities. The application of such systems includes monitoring foot traffic. This functionality …
cities. The application of such systems includes monitoring foot traffic. This functionality …
Real-time traffic flow-based traffic signal scheduling: A queuing theory approach
The lack of hierarchical road intersection management is a common scenario in low to
middle-income countries. The increase in the number of vehicles leads to congestion at the …
middle-income countries. The increase in the number of vehicles leads to congestion at the …
3D zebrafish tracking with topology association
Y Xu, Y Jin, Y Zhang, Q Zhu, Y He… - IET Image …, 2023 - Wiley Online Library
Recently, zebrafish has received more and more attention due to its wide range of
applications such as regeneration promoting therapeutics and drug discovery. Therefore …
applications such as regeneration promoting therapeutics and drug discovery. Therefore …
Image-enhanced YOLOv5 and deep sort underwater multi-moving target tracking method
C Xing, B Sun, W Zhang - 2022 5th International Symposium on …, 2022 - ieeexplore.ieee.org
Underwater target tracking has a wide range of applications in the fields of fishery resources
research, marine ecological environment exploration and AUV/ROV operating in the deep …
research, marine ecological environment exploration and AUV/ROV operating in the deep …
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies
Road traffic accident recognition is essential in providing timely information to healthcare
authorities for reducing fatalities. This area of research is heavily dependent on traffic flow …
authorities for reducing fatalities. This area of research is heavily dependent on traffic flow …