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
… time series analysis. … Deep Learning for crowd behaviour analysis is an emerging trend. A
large number of publications have addressed crowd behaviour analysis using Deep Learning

A review of deep learning techniques for crowd behavior analysis

B Tyagi, S Nigam, R Singh - Archives of Computational Methods in …, 2022 - Springer
… for crowd behavior analysis for this review is given in Figure 4 which categorize the crowd
analysis into crowd … of a few deep learning methods used for behavior analysis in literature. …

Convolutional neural networks for crowd behaviour analysis: a survey

G Tripathi, K Singh, DK Vishwakarma - The Visual Computer, 2019 - Springer
deep learning is still in the process of evolution. In general, the historical state of the art on
crowd behaviour analysis with deep learning … on deep learning for crowd behaviour analysis. …

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

G Sreenu, S Durai - Journal of Big Data, 2019 - Springer
deeper into the area more focus is given to violence detection in crowd behavior analysis. …
CNN are discussed for crowd behaviour analysis. Different datasets useful specifically for …

Crowd-11: A dataset for fine grained crowd behaviour analysis

C Dupont, L Tobias, B Luvison - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
… Fine grained crowd behaviour analysis is a challenging task. Deep supervised machine
learning approaches not only need immense quantities of videos, but also accurate class …

Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures

S Garg, S Sharma, S Dhariwal, WD Priya… - Multimedia Tools and …, 2024 - Springer
… However, effectively analyzing the nonlinearities present in real-world crowd images … deep
learning (DL) architectures for the segmentation and classification of human crowd behavior. …

A deep learning approach to predict crowd behavior based on emotion

EB Varghese, SM Thampi - … , ICSM 2018, Toulon, France, August 24–26 …, 2018 - Springer
… Therefore, intelligent crowd behavior analysis techniques are essential for observing and
tracking emergency situations occurring in crowded scenes, including busy roadways, sports …

Real-time crowd behavior recognition in surveillance videos based on deep learning methods

F Rezaei, M Yazdi - Journal of Real-Time Image Processing, 2021 - Springer
… 2, we present related works on crowd behavior analysis. Our proposed deep learning
architecture is introduced in Sect. 3. A detailed evaluation of our work is followed in Sect. …

Resnetcrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification

M Marsden, K McGuinness, S Little… - 2017 14th IEEE …, 2017 - ieeexplore.ieee.org
… However, a multi-objective learning approach to crowd analysis has yet to be fully … deep
learning framework for simultaneous crowd counting, violent behaviour recognition and crowd

Video analytics using deep learning for crowd analysis: a review

MR Bhuiyan, J Abdullah, N Hashim… - Multimedia Tools and …, 2022 - Springer
… studies on crowd analysis, crowd counting, density estimation, and the Hajj crowd behavior,
… to get a research direction for abnormal behavior analysis of Hajj pilgrims. Therefore, this …