Results 21 to 30 of about 2,578,119 (290)
IEEE Access, 2020 Nowadays, crowd analysis is one of the most important concepts that needs be relied upon, it contributes to decision making and ensuring the safety and security of the crowd.
Reem Alotaibi +5 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 +3 more sources
Coordinated crowd simulation with topological scene analysis [PDF]
, 2016 This paper proposes a new algorithm to produce globally coordinated crowds in an environment with multiple paths and obstacles. Simple greedy crowd control methods easily lead to congestion at bottlenecks within scenes, as the characters do not cooperate
Taku Komura +6 more
core +1 more source
A Deep-Fusion Network for Crowd Counting in High-Density Crowded Scenes [PDF]
International Journal of Computational Intelligence Systems, 2021 AbstractPeople counting has been investigated extensively as a tool to increase the individual’s safety and to avoid crowd hazards at public places. It is a challenging task especially in high-density environment such as Hajj and Umrah, where millions of people gathered in a constrained environment to perform rituals. This is due to large variations of
Sultan Daud Khan +3 more
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A high-density crowd state judgment model based on entropy theory.
PLoS ONE, 2021 A high-density crowd state is prone to cause large-scale crowd stampede accidents that seriously threaten the people's security and property. The key to preventing crowd congestion is to accurately predict the location and time of crowd events ...
Guomin Zhao +4 more
doaj +1 more source
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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Texture-based Homogeneity Analysis for Crowd Scene Modelling and Abnormality Detection [PDF]
Video-based crowd behaviour analysis techniques aim at tackling challenging problems such as detecting abnormal crowd behaviours and tracking specific individuals from complex real life scenes.
Xu, Zhijie, Wang, Jing
core +3 more sources
Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network
IEEE Access, 2019 Crowd counting is a challenging task due to the influence of various factors, such as scene transformation, complex crowd distribution, uneven illumination, and occlusion.
Jun Sang +6 more
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Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework [PDF]
, 2011 Real-time monitoring of crowded regions has crucial importance to avoid overload of people in certain areas. Understanding behavioral dynamics of large people groups can also help to estimate future status of underground passages, public areas, or ...
Reinartz, Peter +3 more
core +1 more source