Robust Marker-Based Tracking for Measuring Crowd Dynamics

Lecture Notes in Computer Science - Computer Vision Systems ◽

10.1007/978-3-319-20904-3_40 ◽

2015 ◽

pp. 445-455 ◽

Author(s):

Wolfgang Mehner ◽

Maik Boltes ◽

Markus Mathias ◽

Bastian Leibe

Keyword(s):

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Matching gradient descriptors with topological constraints to characterise the crowd dynamics

IET International Conference on Visual Information Engineering (VIE 2006) ◽

10.1049/cp:20060571 ◽

2006 ◽

Author(s):

B. Zhan ◽

P. Remagnino ◽

S. Velastin ◽

F. Bremond ◽

M. Thonnat

Keyword(s):

Topological Constraints ◽

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Counterflow model for agent-based simulation of crowd dynamics

Building and Environment ◽

10.1016/j.buildenv.2011.08.020 ◽

2012 ◽

Vol 48 ◽

pp. 89-100 ◽

Author(s):

Simo Heliövaara ◽

Timo Korhonen ◽

Simo Hostikka ◽

Harri Ehtamo

Keyword(s):

Agent Based Simulation ◽

Agent Based ◽

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Accelerating fuzzy cellular automata for modeling crowd dynamics

Journal of Computational Science ◽

10.1016/j.jocs.2018.10.007 ◽

2019 ◽

Vol 32 ◽

pp. 125-140 ◽

Author(s):

Ioannis Gerakakis ◽

Prodromos Gavriilidis ◽

Nikolaos I. Dourvas ◽

Ioakeim G. Georgoudas ◽

Giuseppe A. Trunfio ◽

...

Keyword(s):

Cellular Automata ◽

Crowd Dynamics ◽

Fuzzy Cellular Automata

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Simulation of Crowd Dynamics in Panic Situations Using a Fuzzy Logic-Based Behavioural Model

Advances in Intelligent Systems and Computing - Computer-based Modelling and Optimization in Transportation ◽

10.1007/978-3-319-04630-3_18 ◽

2014 ◽

pp. 237-250 ◽

Author(s):

Mauro Dell’Orco ◽

Mario Marinelli ◽

Michele Ottomanelli

Keyword(s):

Fuzzy Logic ◽

Crowd Dynamics ◽

Behavioural Model

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Effect of Social Groups on Crowd Dynamics: Empirical Findings and Numerical Simulations

Pedestrian and Evacuation Dynamics 2012 ◽

10.1007/978-3-319-02447-9_103 ◽

2013 ◽

pp. 1251-1258 ◽

Author(s):

Dirk Oberhagemann ◽

Rainer Könnecke ◽

V. Schneider

Keyword(s):

Numerical Simulations ◽

Social Groups ◽

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An agent-based approach for crowd dynamics simulation

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems ◽

10.1109/icicisys.2010.5658843 ◽

2010 ◽

Author(s):

Qiu Qin ◽

Junhu Wei

Keyword(s):

Dynamics Simulation ◽

Agent Based ◽

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Bayesian inference methods to calibrate crowd dynamics models for safety applications

Safety Science ◽

10.1016/j.ssci.2021.105586 ◽

2022 ◽

Vol 147 ◽

pp. 105586

Author(s):

Marion Gödel ◽

Nikolai Bode ◽

Gerta Köster ◽

Hans-Joachim Bungartz

Keyword(s):

Bayesian Inference ◽

Crowd Dynamics ◽

Inference Methods ◽

Dynamics Models ◽

Safety Applications

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A review of studies on understanding crowd dynamics in the context of crowd safety in mass religious gatherings

International Journal of Disaster Risk Reduction ◽

10.1016/j.ijdrr.2017.07.017 ◽

2017 ◽

Vol 25 ◽

pp. 82-91 ◽

Author(s):

H. Gayathri ◽

P.M. Aparna ◽

Ashish Verma

Keyword(s):

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Crowd dynamics and safety

Physics of Life Reviews ◽

10.1016/j.plrev.2016.08.014 ◽

2016 ◽

Vol 18 ◽

pp. 55-65 ◽

Author(s):

N. Bellomo ◽

D. Clarke ◽

L. Gibelli ◽

P. Townsend ◽

B.J. Vreugdenhil

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Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) ◽

10.1109/dsaa.2017.11 ◽

2017 ◽

Author(s):

Fang-Zhou Jiang ◽

Lei Zhong ◽

Kanchana Thilakarathna ◽

Aruna Seneviratne ◽

Kiyoshi Takano ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Crowd Dynamics ◽

Spatio Temporal

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