[HTML][HTML] Recent trends in crowd analysis: A review

M Bendali-Braham, J Weber, G Forestier… - Machine Learning with …, 2021 - Elsevier
When overpopulated cities face frequent crowded events like strikes, demonstrations,
parades or other sorts of people gatherings, they are confronted to multiple security issues …

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 …

Congested crowd instance localization with dilated convolutional swin transformer

J Gao, M Gong, X Li - Neurocomputing, 2022 - Elsevier
Crowd localization is a new computer vision task, evolved from crowd counting. Different
from the latter, it provides more precise location information for each instance, not just …

Feature-aware adaptation and density alignment for crowd counting in video surveillance

J Gao, Y Yuan, Q Wang - IEEE transactions on cybernetics, 2020 - ieeexplore.ieee.org
With the development of deep neural networks, the performance of crowd counting and pixel-
wise density estimation is continually being refreshed. Despite this, there are still two …

Crowd localization from gaussian mixture scoped knowledge and scoped teacher

J Wang, J Gao, Y Yuan, Q Wang - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
Crowd localization is to predict each instance head position in crowd scenarios. Since the
distance of pedestrians being to the camera are variant, there exists tremendous gaps …

Efficient crowd counting via dual knowledge distillation

R Wang, Y Hao, L Hu, X Li, M Chen… - … on Image Processing, 2023 - ieeexplore.ieee.org
Most researchers focus on designing accurate crowd counting models with heavy
parameters and computations but ignore the resource burden during the model deployment …

Density-aware curriculum learning for crowd counting

Q Wang, W Lin, J Gao, X Li - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
Recently, crowd counting draws much attention on account of its significant meaning in
congestion control, public safety, and ecological surveys. Although the performance is …

Crowd counting via unsupervised cross-domain feature adaptation

G Ding, D Yang, T Wang, S Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Given an image, crowd counting aims to estimate the amount of target objects in the image.
With un-predictable installation situations of surveillance systems (or other equipments) …

Deformable density estimation via adaptive representation

Z Zhao, X Li - IEEE Transactions on Image Processing, 2023 - ieeexplore.ieee.org
Crowd counting is the basic task of crowd analysis and it is of great significance in the field
of public safety. Therefore, it receives more and more attention recently. The common idea is …

Learning Discriminative Features for Crowd Counting

Y Chen, Q Wang, J Yang, B Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Crowd counting models in highly congested areas confront two main challenges: weak
localization ability and difficulty in differentiating between foreground and background …