A review of anomaly detection in automated surveillance
AA Sodemann, MP Ross… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
As surveillance becomes ubiquitous, the amount of data to be processed grows along with
the demand for manpower to interpret the data. A key goal of surveillance is to detect …
the demand for manpower to interpret the data. A key goal of surveillance is to detect …
A review of unsupervised machine learning frameworks for anomaly detection in industrial applications
UA Usmani, A Happonen, J Watada - Science and Information Conference, 2022 - Springer
Unsupervised learning, also known as unsupervised machine learning, analyzes and
clusters unlabeled data utlizing machine learning techniques. Without human input, these …
clusters unlabeled data utlizing machine learning techniques. Without human input, these …
Intelligent video systems and analytics: A survey
Recent technology and market trends have demanded the significant need for feasible
solutions to video/camera systems and analytics. This paper provides a comprehensive …
solutions to video/camera systems and analytics. This paper provides a comprehensive …
Abnormal event detection in crowded scenes using one-class SVM
In this paper, a new method for detecting abnormal events in public surveillance systems is
proposed. In the first step of the proposed method, candidate regions are extracted, and the …
proposed. In the first step of the proposed method, candidate regions are extracted, and the …
Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes
D Vallejo, JJ Castro-Schez, C Glez-Morcillo… - … Applications of Artificial …, 2020 - Elsevier
The consequences of natural or man-made catastrophes can be devastating. To minimize its
impact, it is crucial to carry out a rapid analysis of the affected environment in the moments …
impact, it is crucial to carry out a rapid analysis of the affected environment in the moments …
Anomaly detection and localization in crowded scenes using connected component analysis
This paper presents a new method for detecting abnormal events in the surveillance
systems. This method does not employ object detection or tracking and thus it does not fail in …
systems. This method does not employ object detection or tracking and thus it does not fail in …
Intelligent video surveillance beyond robust background modeling
E Cermeño, A Pérez, JA Sigüenza - Expert Systems with Applications, 2018 - Elsevier
The increasing number of video surveillance cameras is challenging video control systems.
Monitoring centers require tools to guide the process of supervision. Different video analysis …
Monitoring centers require tools to guide the process of supervision. Different video analysis …
[PDF][PDF] Intelligent video surveillance systems for public spaces–a survey
M Zabłocki, K Gościewska, D Frejlichowski… - Journal of Theoretical …, 2014 - Citeseer
In recent years, a large number of cameras have been installed in public spaces as a part of
intelligent video surveillance systems. Such systems are being continuously developed due …
intelligent video surveillance systems. Such systems are being continuously developed due …
Surveillance scene representation and trajectory abnormality detection using aggregation of multiple concepts
Use of CCTV is growing rapidly in surveillance applications. Rapid advancement in machine
learning and camera hardware has opened-up adequate scopes to build next generation of …
learning and camera hardware has opened-up adequate scopes to build next generation of …
An expert fuzzy system for improving safety on pedestrian crossings by means of visual feedback
Despite the continuous measures taken in large cities to improve road safety, pedestrian run-
overs are still some of the main problems. In this paper an expert system is presented …
overs are still some of the main problems. In this paper an expert system is presented …