Approaches on crowd counting and density estimation: a review

B Li, H Huang, A Zhang, P Liu, C Liu - Pattern Analysis and Applications, 2021 - Springer
In recent years, urgent needs for counting crowds and vehicles have greatly promoted
research of crowd counting and density estimation. Benefiting from the rapid development of …

A survey of crowd counting and density estimation based on convolutional neural network

Z Fan, H Zhang, Z Zhang, G Lu, Y Zhang, Y Wang - Neurocomputing, 2022 - Elsevier
Crowd counting and crowd density estimation methods are of great significance in the field
of public security. Estimating crowd density and counting from single image or video frame …

[PDF][PDF] 基于计算机视觉的目标计数方法综述

蒋妮, 周海洋, 余飞鸿 - Laser & Optoelectronics Progress, 2021 - researching.cn
摘要目标计数作为一项基础的技术, 在许多领域都有广泛的应用, 如人群计数, 细胞计数,
车辆计数等. 随着互联网时代的信息爆炸, 视频数据呈指数级增长, 如何快速 …

FPANet: feature pyramid attention network for crowd counting

W Zhai, M Gao, Q Li, G Jeon, M Anisetti - Applied Intelligence, 2023 - Springer
Crowd counting in congested scenarios is an essential yet challenging task in detecting
abnormal crowd for contemporary urban planning. The counting accuracy has been …

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 …

Scale region recognition network for object counting in intelligent transportation system

X Guo, M Gao, W Zhai, Q Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Self-driving technology and safety monitoring devices in intelligent transportation systems
require superb capacity for context awareness. Accurately inferring the counts of crowds and …

Net: a dual attention-aware network for robust crowd counting

W Zhai, Q Li, Y Zhou, X Li, J Pan, G Zou, M Gao - Multimedia Systems, 2023 - Springer
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 …

NAS-kernel: Learning suitable Gaussian kernel for remote sensing object counting

L Zhao, J Gao, X Li - IEEE Geoscience and Remote Sensing …, 2023 - ieeexplore.ieee.org
The purpose of object counting is to estimate the number of specific kinds of objects in a
given image. In remote-sensing imagery, challenges arise in object counting due to issues …

Spatial-frequency attention network for crowd counting

X Guo, M Gao, W Zhai, J Shang, Q Li - Big data, 2022 - liebertpub.com
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 …

Scale-context perceptive network for crowd counting and localization in smart city system

W Zhai, M Gao, X Guo, Q Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The task of crowd counting and localization is to predict the count and position of people in a
crowd, which is a practical and essential subtask in crowd analysis and smart city systems …