Intelligent video surveillance: a review through deep learning techniques for crowd analysis

G Sreenu, S Durai - Journal of Big Data, 2019 - Springer
Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets

GF Shidik, E Noersasongko, A Nugraha… - IEEE …, 2019 - ieeexplore.ieee.org
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …

IoT-based smart healthcare video surveillance system using edge computing

R Rajavel, SK Ravichandran, K Harimoorthy… - Journal of ambient …, 2022 - Springer
Managing distributed smart surveillance system is identified as a major challenging issue
due to its comprehensive aggregation and analysis of video information on the cloud. In …

Fire detection for video surveillance applications using ICA K-medoids-based color model and efficient spatio-temporal visual features

M Hashemzadeh, A Zademehdi - Expert Systems with Applications, 2019 - Elsevier
Automated detection of fire flames in videos shot from a surveillance camera is an active
research topic, as fire detection must be accurate and fast. The present study proposes and …

Perimeter intrusion detection by video surveillance: A survey

D Lohani, C Crispim-Junior, Q Barthélemy, S Bertrand… - Sensors, 2022 - mdpi.com
In recent times, we have seen a massive rise in vision-based applications, such as video
anomaly detection, motion detection, object tracking, people counting, etc. Most of these …

Fire identification based on improved multi feature fusion of YCbCr and regional growth

X Chen, Q An, K Yu - Expert Systems with Applications, 2024 - Elsevier
Fire is one of the mutable hazards that damage properties and destroy forests. However, fire-
like objects easily influence many existing image-based fire detection methods. In order to …

Video surveillance image enhancement via a convolutional neural network and stacked denoising autoencoder

MF Che Aminudin, SA Suandi - Neural Computing and Applications, 2022 - Springer
In an extensive-scale surveillance system, the quality of the surveillance camera installed
varies. This variation of surveillance camera produces different image quality in terms of …

A YOLO algorithm-based visitor detection system for small retail stores using single board computer

T Erlina, M Fikri - Journal of Applied Engineering and Technological …, 2023 - yrpipku.com
In Indonesia, assistance for small enterprises has grown in recent years. However, a
monitoring system is required to support these enterprises and ensure their expansion and …

Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach with Curated Dataset Generation for Enhanced Security

S Pitafi, T Anwar, IDM Widia, B Yimwadsana - IEEE Access, 2023 - ieeexplore.ieee.org
Perimeter intrusion detection systems (PIDS) play a crucial role in safeguarding critical
infrastructures from unauthorized access and potential security breaches. Security is the …

[PDF][PDF] Abnormal human behavior detection in videos: A review

H Mu, R Sun, G Yuan, Y Wang - Information Technology and Control, 2021 - itc.ktu.lt
Abnormal Human Behavior Detection in Videos: A Review Page 1 Information Technology
and Control 2021/3/50 522 Abnormal Human Behavior Detection in Videos: A Review ITC 3/50 …