Revisiting crowd counting: State-of-the-art, trends, and future perspectives

MA Khan, H Menouar, R Hamila - Image and Vision Computing, 2023 - Elsevier
Crowd counting is an effective tool for situational awareness in public places. Automated
crowd counting using images and videos is an interesting yet challenging problem that has …

A review of deep learning techniques for crowd behavior analysis

B Tyagi, S Nigam, R Singh - Archives of Computational Methods in …, 2022 - Springer
In today's scenario, there are frequent events (viz. political rallies, live concerts, strikes,
sports meet) occur in which many people gather to participate in the event. In crowded areas …

Estimating crowd density with edge intelligence based on lightweight convolutional neural networks

S Wang, Z Pu, Q Li, Y Wang - Expert Systems with Applications, 2022 - Elsevier
Crowd stampedes and incidents are critical threats to public security that have caused
countless deaths during the past few decades. To avoid crowd stampedes, real-time crowd …

Crowd counting analysis using deep learning: a critical review

A Patwal, M Diwakar, V Tripathi, P Singh - Procedia Computer Science, 2023 - Elsevier
The term" crowd counting" refers to the practise of counting the number of people present in
a certain area. Urban planning, medical services, emergency preparedness, public security …

Crowd counting in smart city via lightweight ghost attention pyramid network

X Guo, K Song, M Gao, W Zhai, Q Li, G Jeon - Future Generation Computer …, 2023 - Elsevier
Crowd counting targets for determining the number of pedestrians in an image, which is of
crucial importance for smart city construction. The problem of scale variation is an ingrained …

A lightweight multiscale feature fusion network for remote sensing object counting

J Yi, Z Shen, F Chen, Y Zhao, S **ao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In recent decades, remote sensing object counting has attracted increasing attention from
academia and industry due to its potential benefits in urban traffic, public safety, and road …

Deep learning in crowd counting: A survey

L Deng, Q Zhou, S Wang, JM Górriz… - CAAI Transactions on …, 2024 - Wiley Online Library
Counting high‐density objects quickly and accurately is a popular area of research. Crowd
counting has significant social and economic value and is a major focus in artificial …

An attentive hierarchy ConvNet for crowd counting in smart city

W Zhai, M Gao, A Souri, Q Li, X Guo, J Shang, G Zou - Cluster Computing, 2023 - Springer
Crowd counting plays a crucial rule in the development of smart city. However, the problems
of scale variations and background interferences degrade the performance of the crowd …

SD-Net: Understanding overcrowded scenes in real-time via an efficient dilated convolutional neural network

N Khan, A Ullah, IU Haq, VG Menon… - Journal of Real-Time …, 2021 - Springer
The advancements in computer vision-related technologies attract many researchers for
surveillance applications, particularly involving the automated crowded scenes analysis …

An effective lightweight crowd counting method based on an encoder–decoder network for internet of video things

J Yi, F Chen, Z Shen, Y **ang, S **ao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
An emerging Internet of Video Things (IoVT) application, crowd counting is a computer
vision task where the number of heads in a crowded scene is estimated. In recent years, it …