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Information Entropy-Guided Multi-Scale Feature Fusion for Crowd Density Estimation [PDF]
EntropyThe spatial heterogeneity of crowd distributions poses significant challenges for density estimation. Dense regions exhibit high local information entropy due to severe occlusion and feature ambiguity, while sparse regions and backgrounds carry ...
Zixun Liu, Tianle Yang, Yongjie Wang
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Harmonizing Scale for Intelligent Sensors: Resolution-Conditioned Adaptation of Vision Foundation Models for Crowd Counting [PDF]
SensorsScale variation remains a fundamental challenge for intelligent surveillance sensors in crowd-counting and localization tasks. While recent selective inheritance methods have shown promise through multi-resolution feature fusion, they typically rely on ...
Huan Xu +4 more
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Single Convolutional Neural Network With Three Layers Model for Crowd Density Estimation
IEEE Access, 2022 Crowd density estimation is an important topic in computer vision due to its widespread applications in surveillance, urban planning, and intelligence gathering.
Adal Alashban +3 more
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Journal of Applied Science and Engineering, 2022 The crowd density estimation has important application value in intelligent safety prevention, traffic safety and tourist attractions safety prevention, etc.
XiaojunWang
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Crowd Density Estimation and Mapping Method Based on Surveillance Video and GIS
ISPRS International Journal of Geo-Information, 2023 Aiming at the problem that the existing crowd counting methods cannot achieve accurate crowd counting and map visualization in a large scene, a crowd density estimation and mapping method based on surveillance video and GIS (CDEM-M) is proposed. Firstly,
Xingguo Zhang +4 more
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Airborne Crowd Density Estimation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 This paper proposes a new method for estimating human crowd densities from aerial imagery. Applications benefiting from an accurate crowd monitoring system are mainly found in the security sector. Normally crowd density estimation is done through in-situ
O. Meynberg, G. Kuschk
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Congested Crowd Counting via Adaptive Multi-Scale Context Learning
Sensors, 2021 In this paper, we propose a novel congested crowd counting network for crowd density estimation, i.e., the Adaptive Multi-scale Context Aggregation Network (MSCANet).
Yani Zhang +5 more
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Estimating Interpersonal Distance and Crowd Density with a Single-Edge Camera
Computers, 2021 For public safety and physical security, currently more than a billion closed-circuit television (CCTV) cameras are in use around the world. Proliferation of artificial intelligence (AI) and machine/deep learning (M/DL) technologies have gained ...
Alem Fitwi +3 more
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Redesigned Skip-Network for Crowd Counting with Dilated Convolution and Backward Connection
Journal of Imaging, 2020 Crowd counting is a challenging task dealing with the variation of an object scale and a crowd density. Existing works have emphasized on skip connections by integrating shallower layers with deeper layers, where each layer extracts features in a ...
Sorn Sooksatra +3 more
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Cross Domain Adaptation of Crowd Counting with Model-Agnostic Meta-Learning
Applied Sciences, 2021 Counting people in crowd scenarios is extensively conducted in drone inspections, video surveillance, and public safety applications. Today, crowd count algorithms with supervised learning have improved significantly, but with a reliance on a large ...
Xiaoyu Hou +3 more
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