Crowd monitoring and localization using deep convolutional neural network: A review
Crowd management and monitoring is crucial for maintaining public safety and is an
important research topic. Develo** a robust crowd monitoring system (CMS) is a …
important research topic. Develo** a robust crowd monitoring system (CMS) is a …
A deep learning-based approach for inappropriate content detection and classification of youtube videos
K Yousaf, T Nawaz - IEEE Access, 2022 - ieeexplore.ieee.org
The exponential growth of videos on YouTube has attracted billions of viewers among which
the majority belongs to a young demographic. Malicious uploaders also find this platform as …
the majority belongs to a young demographic. Malicious uploaders also find this platform as …
A psychologically inspired fuzzy cognitive deep learning framework to predict crowd behavior
In an intelligent surveillance system, detecting and predicting diverse collective crowd
behaviors has emerged as a challenging problem for efficient crowd management. In real …
behaviors has emerged as a challenging problem for efficient crowd management. In real …
[PDF][PDF] Machine Learning-Based Crowd Behavior Analysis and Forecasting
S Bhardwaj, A Dwivedi, A Pandey… - … Journal of Scientific …, 2023 - researchgate.net
In many places today, the world's overcrowding causes crowded conditions. Analysis of
crowd activity is a develo** field of study. It is common knowledge that mob activity can …
crowd activity is a develo** field of study. It is common knowledge that mob activity can …
Abnormal behavior detection using streak flow acceleration
J Jiang, XY Wang, M Gao, J Pan, C Zhao, J Wang - Applied Intelligence, 2022 - Springer
The goal of abnormal behavior detection is to detect an anomalous event in video as
accurate as possible. Motion information is crucial in such case as an inadequate motion …
accurate as possible. Motion information is crucial in such case as an inadequate motion …
Conditional autoregressive-tunicate swarm algorithm based generative adversarial network for violent crowd behavior recognition
Violent crowd behavior detection has gained significant attention in the computer vision
system. Diverse crowd behavior detection approaches are introduced to detect violent …
system. Diverse crowd behavior detection approaches are introduced to detect violent …
Convolutional neural network for human crowd analysis: a review
This research paper presents a review of the use of convolutional neural networks (CNNs)
for human crowd analysis. The paper discusses the challenges and limitations of methods …
for human crowd analysis. The paper discusses the challenges and limitations of methods …
Crowd behavior detection: leveraging video swin transformer for crowd size and violence level analysis
In recent years, crowd behavior detection has posed significant challenges in the realm of
public safety and security, even with the advancements in surveillance technologies. The …
public safety and security, even with the advancements in surveillance technologies. The …
DSLSTM: a deep convolutional encoder–decoder architecture for abnormality detection in video surveillance
Video abnormality detection has become an essential component of surveillance video,
identifying frames in the video sequences that contain events that do not conform to the …
identifying frames in the video sequences that contain events that do not conform to the …
A review in anomalies detection using deep learning
Anomaly detection is one of the most valuable research topics in deep learning and
computer vision. Besides various tools and techniques, deep learning because of its …
computer vision. Besides various tools and techniques, deep learning because of its …