Results 11 to 20 of about 105,553 (280)
Density-functional fluctuation theory of crowds [PDF]
Nature Communications, 2018 Abstract A primary goal of collective population behavior studies is to determine the rules governing crowd distributions in order to predict future behaviors in new environments. Current top-down modeling approaches describe, instead of predict, specific emergent behaviors, whereas bottom-up approaches must postulate, instead of ...
J. Felipe Méndez-Valderrama +4 more
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A Multi-scale Crowd Counting Algorithm with Removing Background Interference [PDF]
Jisuanji gongcheng, 2022 Crowd counting technology is aimed at estimating the number of people in crowd pictures or videos.The technology can effectively be applied to prevent stampede accidents and is widely used in security and early warning, urban planning, and management of ...
GUO Aixin, XIA Yinfeng, WANG Dawei, LU Bin
doaj +1 more source
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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On crowd density estimation for surveillance [PDF]
IET Conference on Crime and Security, 2006 The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of illumination due to textured brick surface, clothing and changes of weather.
Rahmalan, Hidayah +2 more
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Congestion-Aware Bayesian Loss for Crowd Counting
IEEE Access, 2022 Deep learning-based crowd density estimation can greatly improve the accuracy of crowd counting. Though a Bayesian loss method resolves the two problems of the need of a hand-crafted ground truth (GT) density and noisy annotations, counting accurately in
Jiyeoup Jeong +3 more
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Scene Adaptive Segmentation for Crowd Counting in Population Heterogeneous Distribution
Applied Sciences, 2022 Crowd counting is an important part of crowd analysis and has been widely applied in the field of public safety and commercial management. Although researchers have proposed many crowd counting methods, there is little research on non-uniform population ...
Hui Gao +3 more
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A Data-Driven Urban Metro Management Approach for Crowd Density Control
Journal of Advanced Transportation, 2021 Large crowding events in big cities pose great challenges to local governments since crowd disasters may occur when crowd density exceeds the safety threshold.
Hui Zhou +4 more
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Multiscale modeling of granular flows with application to crowd dynamics [PDF]
, 2010 In this paper a new multiscale modeling technique is proposed. It relies on a recently introduced measure-theoretic approach, which allows to manage the microscopic and the macroscopic scale under a unique framework.
Cristiani, Emiliano +2 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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Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 2015 Artists, animation and game designers are in demand for solutions to easily populate large virtual environments with crowds that satisfy desired visual features. This paper presents a method to intuitively populate virtual environments by specifying two key features: localized density, being the amount of agents per unit of surface, and localized flow,
Jordao, Kevin +4 more
openaire +2 more sources