A Graphical Simulator for Modeling Complex Crowd Behaviors

Yu Hao, Zhijie Xu, Ying Liu, Jing Wang, Jiulun Fan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Abnormal crowd behaviors of varied real-world settings could represent or pose serious threat to public safety. The video data required for relevant analysis are often difficult to acquire due to security, privacy and data protection issues. Without large amounts of realistic crowd data, it is difficult to develop and verify crowd behavioral models, event detection techniques, and corresponding test and evaluations. This paper presented a synthetic method for generating crowd movements and tendency based on existing social and behavioral studies. Graph and tree searching algorithms as well as game engine-enabled techniques have been adopted in the study. The main outcomes of this research include a categorization model for entity-based behaviors following a linear aggregation approach; and the construction of an innovative agent-based pipeline for the synthesis of A-Star path-finding algorithm and an enhanced Social Force Model. A Spatial-Temporal Texture (STT) technique has been adopted for the evaluation of the model’s effectiveness. Tests have highlighted the visual similarities between STTs extracted from the simulations and their counterparts – video recordings - from the real-world.
Original languageEnglish
Title of host publication2018 22nd International Conference Information Visualisation (IV)
EditorsEbad Banissi, Rita Francese, Mark W. McK.Bannatyne, Theodor G. Wyeld, Muhammad Sarfraz, João Moura Pires, Anna Ursyn, Fatma Bouali, Nuno Datia, Gilles Venturini, Giuseppe Polese, Vincenzo Deufemia, Tania Di Mascio, Marco Temperini, Filippo Sciarrone, Delfina Malandrino, Rocco Zaccagnino, Paloma Díaz, Fragkiskos Papadopoulo, Antonio Fernandez Anta, Alfredo Cuzzocrea, Michele Risi, Ugo Erra, Veronica Rossano
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6-11
Number of pages6
ISBN (Electronic)9781538672020
ISBN (Print)9781538672037
DOIs
Publication statusPublished - 6 Dec 2018
Event22nd International Conference Information Visualisation - Università degli Studi di Salerno, Salerno, Italy
Duration: 10 Jul 201813 Jul 2018
Conference number: 22
http://iv.csites.fct.unl.pt/ (Link to Conference Website)

Conference

Conference22nd International Conference Information Visualisation
Abbreviated titleiV18
CountryItaly
CitySalerno
Period10/07/1813/07/18
Internet address

Fingerprint

Simulators
Video recording
Data privacy
Stars
Agglomeration
Pipelines
Textures
Engines

Cite this

Hao, Y., Xu, Z., Liu, Y., Wang, J., & Fan, J. (2018). A Graphical Simulator for Modeling Complex Crowd Behaviors. In E. Banissi, R. Francese, M. W. McK.Bannatyne, T. G. Wyeld, M. Sarfraz, J. Moura Pires, A. Ursyn, F. Bouali, N. Datia, G. Venturini, G. Polese, V. Deufemia, T. Di Mascio, M. Temperini, F. Sciarrone, D. Malandrino, R. Zaccagnino, P. Díaz, F. Papadopoulo, A. Fernandez Anta, A. Cuzzocrea, M. Risi, U. Erra, ... V. Rossano (Eds.), 2018 22nd International Conference Information Visualisation (IV) (pp. 6-11). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iV.2018.00012
Hao, Yu ; Xu, Zhijie ; Liu, Ying ; Wang, Jing ; Fan, Jiulun. / A Graphical Simulator for Modeling Complex Crowd Behaviors. 2018 22nd International Conference Information Visualisation (IV). editor / Ebad Banissi ; Rita Francese ; Mark W. McK.Bannatyne ; Theodor G. Wyeld ; Muhammad Sarfraz ; João Moura Pires ; Anna Ursyn ; Fatma Bouali ; Nuno Datia ; Gilles Venturini ; Giuseppe Polese ; Vincenzo Deufemia ; Tania Di Mascio ; Marco Temperini ; Filippo Sciarrone ; Delfina Malandrino ; Rocco Zaccagnino ; Paloma Díaz ; Fragkiskos Papadopoulo ; Antonio Fernandez Anta ; Alfredo Cuzzocrea ; Michele Risi ; Ugo Erra ; Veronica Rossano. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 6-11
@inproceedings{48fb7722bee149ca87b83b4c5fe57212,
title = "A Graphical Simulator for Modeling Complex Crowd Behaviors",
abstract = "Abnormal crowd behaviors of varied real-world settings could represent or pose serious threat to public safety. The video data required for relevant analysis are often difficult to acquire due to security, privacy and data protection issues. Without large amounts of realistic crowd data, it is difficult to develop and verify crowd behavioral models, event detection techniques, and corresponding test and evaluations. This paper presented a synthetic method for generating crowd movements and tendency based on existing social and behavioral studies. Graph and tree searching algorithms as well as game engine-enabled techniques have been adopted in the study. The main outcomes of this research include a categorization model for entity-based behaviors following a linear aggregation approach; and the construction of an innovative agent-based pipeline for the synthesis of A-Star path-finding algorithm and an enhanced Social Force Model. A Spatial-Temporal Texture (STT) technique has been adopted for the evaluation of the model’s effectiveness. Tests have highlighted the visual similarities between STTs extracted from the simulations and their counterparts – video recordings - from the real-world.",
keywords = "Crowd Behavior Simulation, Spatial-Temporal Texture, Social Force Models, Agent Modeling",
author = "Yu Hao and Zhijie Xu and Ying Liu and Jing Wang and Jiulun Fan",
year = "2018",
month = "12",
day = "6",
doi = "10.1109/iV.2018.00012",
language = "English",
isbn = "9781538672037",
pages = "6--11",
editor = "Ebad Banissi and Rita Francese and McK.Bannatyne, {Mark W.} and Wyeld, {Theodor G.} and Muhammad Sarfraz and {Moura Pires}, {Jo{\~a}o } and Anna Ursyn and Fatma Bouali and Nuno Datia and Gilles Venturini and Giuseppe Polese and Vincenzo Deufemia and {Di Mascio}, Tania and Marco Temperini and Filippo Sciarrone and Delfina Malandrino and Rocco Zaccagnino and Paloma D{\'i}az and Fragkiskos Papadopoulo and {Fernandez Anta}, Antonio and Alfredo Cuzzocrea and Michele Risi and Ugo Erra and Veronica Rossano",
booktitle = "2018 22nd International Conference Information Visualisation (IV)",
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Hao, Y, Xu, Z, Liu, Y, Wang, J & Fan, J 2018, A Graphical Simulator for Modeling Complex Crowd Behaviors. in E Banissi, R Francese, MW McK.Bannatyne, TG Wyeld, M Sarfraz, J Moura Pires, A Ursyn, F Bouali, N Datia, G Venturini, G Polese, V Deufemia, T Di Mascio, M Temperini, F Sciarrone, D Malandrino, R Zaccagnino, P Díaz, F Papadopoulo, A Fernandez Anta, A Cuzzocrea, M Risi, U Erra & V Rossano (eds), 2018 22nd International Conference Information Visualisation (IV). Institute of Electrical and Electronics Engineers Inc., pp. 6-11, 22nd International Conference Information Visualisation, Salerno, Italy, 10/07/18. https://doi.org/10.1109/iV.2018.00012

A Graphical Simulator for Modeling Complex Crowd Behaviors. / Hao, Yu; Xu, Zhijie; Liu, Ying; Wang, Jing; Fan, Jiulun.

2018 22nd International Conference Information Visualisation (IV). ed. / Ebad Banissi; Rita Francese; Mark W. McK.Bannatyne; Theodor G. Wyeld; Muhammad Sarfraz; João Moura Pires; Anna Ursyn; Fatma Bouali; Nuno Datia; Gilles Venturini; Giuseppe Polese; Vincenzo Deufemia; Tania Di Mascio; Marco Temperini; Filippo Sciarrone; Delfina Malandrino; Rocco Zaccagnino; Paloma Díaz; Fragkiskos Papadopoulo; Antonio Fernandez Anta; Alfredo Cuzzocrea; Michele Risi; Ugo Erra; Veronica Rossano. Institute of Electrical and Electronics Engineers Inc., 2018. p. 6-11.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - A Graphical Simulator for Modeling Complex Crowd Behaviors

AU - Hao, Yu

AU - Xu, Zhijie

AU - Liu, Ying

AU - Wang, Jing

AU - Fan, Jiulun

PY - 2018/12/6

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N2 - Abnormal crowd behaviors of varied real-world settings could represent or pose serious threat to public safety. The video data required for relevant analysis are often difficult to acquire due to security, privacy and data protection issues. Without large amounts of realistic crowd data, it is difficult to develop and verify crowd behavioral models, event detection techniques, and corresponding test and evaluations. This paper presented a synthetic method for generating crowd movements and tendency based on existing social and behavioral studies. Graph and tree searching algorithms as well as game engine-enabled techniques have been adopted in the study. The main outcomes of this research include a categorization model for entity-based behaviors following a linear aggregation approach; and the construction of an innovative agent-based pipeline for the synthesis of A-Star path-finding algorithm and an enhanced Social Force Model. A Spatial-Temporal Texture (STT) technique has been adopted for the evaluation of the model’s effectiveness. Tests have highlighted the visual similarities between STTs extracted from the simulations and their counterparts – video recordings - from the real-world.

AB - Abnormal crowd behaviors of varied real-world settings could represent or pose serious threat to public safety. The video data required for relevant analysis are often difficult to acquire due to security, privacy and data protection issues. Without large amounts of realistic crowd data, it is difficult to develop and verify crowd behavioral models, event detection techniques, and corresponding test and evaluations. This paper presented a synthetic method for generating crowd movements and tendency based on existing social and behavioral studies. Graph and tree searching algorithms as well as game engine-enabled techniques have been adopted in the study. The main outcomes of this research include a categorization model for entity-based behaviors following a linear aggregation approach; and the construction of an innovative agent-based pipeline for the synthesis of A-Star path-finding algorithm and an enhanced Social Force Model. A Spatial-Temporal Texture (STT) technique has been adopted for the evaluation of the model’s effectiveness. Tests have highlighted the visual similarities between STTs extracted from the simulations and their counterparts – video recordings - from the real-world.

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A2 - Francese, Rita

A2 - McK.Bannatyne, Mark W.

A2 - Wyeld, Theodor G.

A2 - Sarfraz, Muhammad

A2 - Moura Pires, João

A2 - Ursyn, Anna

A2 - Bouali, Fatma

A2 - Datia, Nuno

A2 - Venturini, Gilles

A2 - Polese, Giuseppe

A2 - Deufemia, Vincenzo

A2 - Di Mascio, Tania

A2 - Temperini, Marco

A2 - Sciarrone, Filippo

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A2 - Zaccagnino, Rocco

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A2 - Papadopoulo, Fragkiskos

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PB - Institute of Electrical and Electronics Engineers Inc.

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Hao Y, Xu Z, Liu Y, Wang J, Fan J. A Graphical Simulator for Modeling Complex Crowd Behaviors. In Banissi E, Francese R, McK.Bannatyne MW, Wyeld TG, Sarfraz M, Moura Pires J, Ursyn A, Bouali F, Datia N, Venturini G, Polese G, Deufemia V, Di Mascio T, Temperini M, Sciarrone F, Malandrino D, Zaccagnino R, Díaz P, Papadopoulo F, Fernandez Anta A, Cuzzocrea A, Risi M, Erra U, Rossano V, editors, 2018 22nd International Conference Information Visualisation (IV). Institute of Electrical and Electronics Engineers Inc. 2018. p. 6-11 https://doi.org/10.1109/iV.2018.00012