Revisiting crowd counting: State-of-the-art, trends, and future perspectives
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 …
crowd counting using images and videos is an interesting yet challenging problem that has …
A review of deep learning techniques for crowd behavior analysis
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 …
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
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 …
countless deaths during the past few decades. To avoid crowd stampedes, real-time crowd …
An attentive hierarchy ConvNet for crowd counting in smart city
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 …
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
The advancements in computer vision-related technologies attract many researchers for
surveillance applications, particularly involving the automated crowded scenes analysis …
surveillance applications, particularly involving the automated crowded scenes analysis …
A lightweight multiscale feature fusion network for remote sensing object counting
J Yi, Z Shen, F Chen, Y Zhao, S Xiao… - 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 …
academia and industry due to its potential benefits in urban traffic, public safety, and road …
Net: a dual attention-aware network for robust crowd counting
Crowd counting in congested scenes is a crucial yet challenging task in video surveillance
and urban security system. The performance of crowd counting has been greatly boosted …
and urban security system. The performance of crowd counting has been greatly boosted …
Crowd counting in smart city via lightweight ghost attention pyramid network
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 …
crucial importance for smart city construction. The problem of scale variation is an ingrained …
Lw-count: An effective lightweight encoding-decoding crowd counting network
Y Liu, G Cao, H Shi, Y Hu - … on Circuits and Systems for Video …, 2022 - ieeexplore.ieee.org
Crowd counting is a task of intelligent applications, and its operation efficiency is very
important. However, in order to obtain a better counting performance, most of the existing …
important. However, in order to obtain a better counting performance, most of the existing …
Spatial-frequency attention network for crowd counting
Counting the number of people in crowded scenarios is a crucial task in video surveillance
and urban security system. Widely deployed surveillance cameras provide big data for …
and urban security system. Widely deployed surveillance cameras provide big data for …