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Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
[article]
2019
arXiv
pre-print
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In this paper, we present a survey on relevant visual surveillance related researches for anomaly detection in public places, focusing primarily on roads. ...
We then summarize the important contributions made during last six years on anomaly detection primarily focusing on features, underlying techniques, applied scenarios and types of anomalies using single ...
Mo (2014) [123] Sparsity Model + OCSVM Junction, road, parking lot. ...
arXiv:1901.08292v1
fatcat:qehtkb2imfbmpfahkgsjrx7544
Crowd-sensing Enhanced Parking Patrol using Sharing Bikes' Trajectories
[article]
2021
arXiv
pre-print
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scheduling, which leverages the detection result as reference context, and models the scheduling task as a multi-agent reinforcement learning problem to guide the patrol police. ...
detection, which models the normal trajectories, extracts features from the evaluation trajectories, and utilizes a distribution test-based method to discover the illegal parking events; and 3) patrol ...
[47] , [48] solve the patrol route scheduling problem for parking lots, while in our work, we focus on the parking violations at curbsides all over the city. ...
arXiv:2110.15557v1
fatcat:4taotqrzejgfvbzlt7l2oaccdu
A Review of Machine Learning and IoT in Smart Transportation
2019
Future Internet
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In this review, smart transportation is considered to be an umbrella term that covers route optimization, parking, street lights, accident prevention/detection, road anomalies, and infrastructure applications ...
From the reviewed articles it becomes profound that there is a possible lack of ML coverage for the Smart Lighting Systems and Smart Parking applications. ...
A cloud based software agent will then decide list with most suitable parking spots for the user. The user is notified through the Local Agent and chooses the preferred parking slot. ...
doi:10.3390/fi11040094
fatcat:6xneyx7ynrgn7p2yl5efy76cee
When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges
2021
Applied Sciences
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Sensing models at the same type of agents for a specific task are often the same. ...
Cooperated Sensing by Infrastructure and Road Users While federated learning will benefit multi-agent sensing for the same sensing task, it is also expected that sensor data integration from different ...
doi:10.3390/app11209680
fatcat:li4mubzsbncjbcqfewgr5wemeq
Efficient Multistage License Plate Detection and Recognition Using YOLOv8 and CNN for Smart Parking Systems
2024
Journal of Sensors
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The approach combines YOLOv5 for license plate detection, YOLOv8 for character detection, and a new convolutional neural network architecture for improved character recognition. ...
within the car park. ...
Acknowledgments The authors extend their appreciation to King Saud University for funding this research through researchers supporting project number (RSPD2024R1027), King Saud University, Riyadh, Saudi ...
doi:10.1155/2024/4917097
fatcat:xdaxvzz2lrhr7mspgjm5kwho24
Team activity analysis and recognition based on Kinect depth map and optical imagery techniques
2012
Signal Processing, Sensor Fusion, and Target Recognition XXI
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.,) are carried to demonstrate effectiveness and efficiency of the proposed model for characterization of distinctive group activities. ...
A Modified Sequential Hidden Markov Model (MS-HMM) is implemented for trail analysis of atomic events representing correlated group activities. ...
ACKNOWLEDGMENTS This work has been supported by a Multidisciplinary University Research Initiative (MURI) grant (Number W911NF-09-1-0392) for "Unified Research on Network-based Hard/Soft Information Fusion ...
doi:10.1117/12.919946
fatcat:dzsqcit46nhhhplfgx7eqgyhte
Moving towards smart transportation with machine learning and Internet of Things (IoT): a review
2022
Journal of Smart Environments and Green Computing
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However, still there is lot of scope to deal with the various problems and apply IoT in the different fields to maximize automation. ...
This has attracted the researchers to contribute from different aspects by developing relevant applications and business models to make the transportation smart. ...
Authors [7] developed an edge based multi-agent auto communication algorithm using IoT for controlling the traffic lights for smart cities. ...
doi:10.20517/jsegc.2021.09
fatcat:eu3n5srrzbbfzldv4hl5s5crme
Context-Aware Activity Recognition and Anomaly Detection in Video
2013
IEEE Journal on Selected Topics in Signal Processing
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anomaly detection. ...
In this paper, we propose a mathematical framework to jointly model related activities with both motion and context information for activity recognition and anomaly detection. ...
In the first example, person getting into a vehicle usually occurs in the parking area, and the anomaly is detected when it happens in an area not for parking. ...
doi:10.1109/jstsp.2012.2234722
fatcat:rw2ct5k55fgczo4zjfe5eybnmm
A Survey on Graph Neural Networks in Intelligent Transportation Systems
[article]
2024
arXiv
pre-print
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As a deep learning method, Graph Neural Networks (GNNs) have emerged as a highly competitive method in the ITS field since 2019 due to their strong ability to model graph-related problems. ...
However, most of the research in this area is still concentrated on traffic forecasting, while other ITS domains, such as autonomous vehicles and urban planning, still require more attention. ...
Acknowledgments The authors are grateful to the anonymous reviewers for critically reading the manuscript and for giving important suggestions to improve their paper. ...
arXiv:2401.00713v2
fatcat:k7yta6x3ojd7doaq77kf3lykja
Analysis of Smart Parking System Using IOT Environment
2023
International Journal on Recent and Innovation Trends in Computing and Communication
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There are numerous crucial elements in the process for developing a smart parking system in an IoT context. ...
For effective management and monitoring of parking spaces, the system also includes automated payment methods and interacts with existing infrastructure. ...
They proposed that multi-agent systems (MAS) and expert systems might one day be the best options for smart parking systems. ...
doi:10.17762/ijritcc.v11i10.8756
fatcat:5auzgrbamjhn3e3dr4ewib6p6a
Intrusion detection system: A comprehensive review
2013
Journal of Network and Computer Applications
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With the increasing amount of network throughput and security threat, the study of intrusion detection systems (IDSs) has received a lot of attention throughout the computer science field. ...
Though there is a number of existing literatures to IDS issues, we attempt to give a more elaborate image for a comprehensive review. ...
At first, we make a clear distinction about intrusion, intrusion detection, intrusion detection system (IDS) and intrusion prevention system (IPS). ...
doi:10.1016/j.jnca.2012.09.004
fatcat:kxas5shnwfei5eymrtbslgpvva
An Overview about Emerging Technologies of Autonomous Driving
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2306.13302v1 fatcat:re5kksclafehtjwfwd5lfs65qyOther Versions
Each module's output is a checking point for anomaly detection through a "one-class classification" module, which model architecture is different from that at the vehicle side. ...
Physics-based models constitute dynamic equations that model handdesigned motions for different categories of agents. ...
arXiv:2306.13302v4
fatcat:7wu66h23rzb3jpo35cfvjtdelq
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review
[article]
2022
arXiv
pre-print
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Some representative applications that suffer from these problems are traffic flow estimation, congestion detection, autonomous driving perception, vehicle interaction, and edge computing for practical ...
Deep learning (DL) models are commonly too complex for real-time processing on embedded hardware, lack explainability and generalizability, and are hard to test in real-world settings. ...
vehicle for the time it was parked. ...
arXiv:2211.05120v1
fatcat:owqs7k65vfcophl2khmqxoqro4
MARVEL - D6.1: Demonstrators execution - initial version
2022
Zenodo
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of integration and deployment, configuration of the framework and execution of real-life societal experiments, as well as demonstration by reporting the experimental indicators and associated metrics for ...
As a Local Police officer, I want to monitor the usage of the parking lot and detect anomaly activity in parking spaces, so that I can take corrective /supporting actions. ...
of the parking lots and anomalous events. ...
doi:10.5281/zenodo.7543698
fatcat:zufq4cmrezbrhe4dddc5vcza5y
MARVEL - D6.1: Demonstrators execution - initial version
2022
Zenodo
Preserved Fulltext
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of integration and deployment, configuration of the framework and execution of real-life societal experiments, as well as demonstration by reporting the experimental indicators and associated metrics for ...
As a Local Police officer, I want to monitor the usage of the parking lot and detect anomaly activity in parking spaces, so that I can take corrective /supporting actions. ...
of the parking lots and anomalous events. ...
doi:10.5281/zenodo.6862994
fatcat:yria7hs36jaujk6zaajxeiswvi
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