Towards the cognitive and psychological perspectives of crowd behaviour: a vision-based analysis

EB Varghese, SM Thampi - Connection Science, 2021 - Taylor & Francis
Smart and proactive surveillance of crowds has turned up into greater importance in recent
years due to the increase in urban population and immutable crowd disasters. Although the …

A psychologically inspired fuzzy cognitive deep learning framework to predict crowd behavior

EB Varghese, SM Thampi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In an intelligent surveillance system, detecting and predicting diverse collective crowd
behaviors has emerged as a challenging problem for efficient crowd management. In real …

Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques

MS Zitouni, H Bhaskar, J Dias, ME Al-Mualla - Neurocomputing, 2016 - Elsevier
Visual recognition of crowd dynamics has had a huge impact on several applications
including surveillance, situation awareness, homeland security and intelligent environments …

Visual analysis of socio-cognitive crowd behaviors for surveillance: A survey and categorization of trends and methods

MS Zitouni, A Sluzek, H Bhaskar - Engineering Applications of Artificial …, 2019 - Elsevier
Monitoring and inferring socio-cognitive behaviors through crowd analysis can help us to
understand many processes. Be it people in crowded environments, road traffic or even a …

Crowd monitoring and classification: a survey

S Lamba, N Nain - Advances in Computer and Computational Sciences …, 2017 - Springer
Crowd monitoring on public places is very demanding endeavor to accomplish. Huge
population and assortment of human actions enforces the crowded scenes to be more …

The utility of datasets in crowd modelling and analysis: a survey

S Waqar, UG Khan, MH Waseem, S Qayyum - Multimedia Tools and …, 2022 - Springer
Computer Vision-based smart surveillance systems are needed in the present era that can
analyse crowd events for behaviour assessment, activity and event recognition, anomaly …

Convolutional neural networks for crowd behaviour analysis: a survey

G Tripathi, K Singh, DK Vishwakarma - The Visual Computer, 2019 - Springer
Interest in automatic crowd behaviour analysis has grown considerably in the last few years.
Crowd behaviour analysis has become an integral part all over the world for ensuring …

Video based human crowd analysis using machine learning: a survey

D Chaudhary, S Kumar, VS Dhaka - Computer methods in …, 2022 - Taylor & Francis
World population has increased manifolds in the last ten years. With the increase in
population at this alarming rate, studying and understanding crowd patterns and their …

Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects

FL Sánchez, I Hupont, S Tabik, F Herrera - Information Fusion, 2020 - Elsevier
Crowd behaviour analysis is an emerging research area. Due to its novelty, a proper
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …

Crowd behavior analysis from fixed and moving cameras

P Bour, E Cribelier, V Argyriou - Multimodal Behavior Analysis in the Wild, 2019 - Elsevier
Current crowd behavior analyses based on 'live'visual or audiovisual camera streams
require numerous personnel and is error prone due to human mistakes. Hence, automatic …