Realistic Pedestrian Simulation Based on the Environmental Attention Model

Di Jiao; Tianyu Huang; Gangyi Ding; Yiran Du

doi:10.1007/978-3-030-22514-8_37

Realistic Pedestrian Simulation Based on the Environmental Attention Model

Di Jiao, Tianyu Huang^*, Gangyi Ding, Yiran Du

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper addresses the problem of crowd simulation while maintaining the attention behaviors. We set up an environmental attention model, which simulates various attention targets of virtual characters influenced by the surrounding environment. According to the investigation and analysis of crowd behaviors, the virtual character attention attributes are divided into the intrinsic attributes and the attention tendency. Based on the various environmental attributes and character attributes, the attention target of a virtual character can be calculated during the walk. Different attention targets lead to different moving heads’ behaviors of characters with different attributes. In this way, we implement the attention individualization of virtual characters, and thereby, improve the diversity of crowd animation.

Original language	English
Title of host publication	Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings
Editors	Marina Gavrilova, Jian Chang, Nadia Magnenat Thalmann, Nadia Magnenat Thalmann, Eckhard Hitzer, Hiroshi Ishikawa
Publisher	Springer Verlag
Pages	402-409
Number of pages	8
ISBN (Print)	9783030225131
DOIs	https://doi.org/10.1007/978-3-030-22514-8_37
Publication status	Published - 2019
Event	36th Computer Graphics International Conference, CGI 2019 - Calgary, Canada Duration: 17 Jun 2019 → 20 Jun 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11542 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	36th Computer Graphics International Conference, CGI 2019
Country/Territory	Canada
City	Calgary
Period	17/06/19 → 20/06/19

Keywords

Crowd animation
Crowd diversification
Environmental attention model
Realistic pedestrian simulation

Access to Document

10.1007/978-3-030-22514-8_37

Cite this

Jiao, D., Huang, T., Ding, G., & Du, Y. (2019). Realistic Pedestrian Simulation Based on the Environmental Attention Model. In M. Gavrilova, J. Chang, N. M. Thalmann, N. M. Thalmann, E. Hitzer, & H. Ishikawa (Eds.), Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings (pp. 402-409). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11542 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22514-8_37

Jiao, Di ; Huang, Tianyu ; Ding, Gangyi et al. / Realistic Pedestrian Simulation Based on the Environmental Attention Model. Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings. editor / Marina Gavrilova ; Jian Chang ; Nadia Magnenat Thalmann ; Nadia Magnenat Thalmann ; Eckhard Hitzer ; Hiroshi Ishikawa. Springer Verlag, 2019. pp. 402-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Realistic Pedestrian Simulation Based on the Environmental Attention Model",

abstract = "This paper addresses the problem of crowd simulation while maintaining the attention behaviors. We set up an environmental attention model, which simulates various attention targets of virtual characters influenced by the surrounding environment. According to the investigation and analysis of crowd behaviors, the virtual character attention attributes are divided into the intrinsic attributes and the attention tendency. Based on the various environmental attributes and character attributes, the attention target of a virtual character can be calculated during the walk. Different attention targets lead to different moving heads{\textquoteright} behaviors of characters with different attributes. In this way, we implement the attention individualization of virtual characters, and thereby, improve the diversity of crowd animation.",

keywords = "Crowd animation, Crowd diversification, Environmental attention model, Realistic pedestrian simulation",

author = "Di Jiao and Tianyu Huang and Gangyi Ding and Yiran Du",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 36th Computer Graphics International Conference, CGI 2019 ; Conference date: 17-06-2019 Through 20-06-2019",

year = "2019",

doi = "10.1007/978-3-030-22514-8_37",

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isbn = "9783030225131",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Marina Gavrilova and Jian Chang and Thalmann, {Nadia Magnenat} and Thalmann, {Nadia Magnenat} and Eckhard Hitzer and Hiroshi Ishikawa",

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Jiao, D, Huang, T , Ding, G & Du, Y 2019, Realistic Pedestrian Simulation Based on the Environmental Attention Model. in M Gavrilova, J Chang, NM Thalmann, NM Thalmann, E Hitzer & H Ishikawa (eds), Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11542 LNCS, Springer Verlag, pp. 402-409, 36th Computer Graphics International Conference, CGI 2019, Calgary, Canada, 17/06/19. https://doi.org/10.1007/978-3-030-22514-8_37

Realistic Pedestrian Simulation Based on the Environmental Attention Model. / Jiao, Di; Huang, Tianyu ; Ding, Gangyi et al.
Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings. ed. / Marina Gavrilova; Jian Chang; Nadia Magnenat Thalmann; Nadia Magnenat Thalmann; Eckhard Hitzer; Hiroshi Ishikawa. Springer Verlag, 2019. p. 402-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11542 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Realistic Pedestrian Simulation Based on the Environmental Attention Model

AU - Jiao, Di

AU - Huang, Tianyu

AU - Ding, Gangyi

AU - Du, Yiran

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - This paper addresses the problem of crowd simulation while maintaining the attention behaviors. We set up an environmental attention model, which simulates various attention targets of virtual characters influenced by the surrounding environment. According to the investigation and analysis of crowd behaviors, the virtual character attention attributes are divided into the intrinsic attributes and the attention tendency. Based on the various environmental attributes and character attributes, the attention target of a virtual character can be calculated during the walk. Different attention targets lead to different moving heads’ behaviors of characters with different attributes. In this way, we implement the attention individualization of virtual characters, and thereby, improve the diversity of crowd animation.

AB - This paper addresses the problem of crowd simulation while maintaining the attention behaviors. We set up an environmental attention model, which simulates various attention targets of virtual characters influenced by the surrounding environment. According to the investigation and analysis of crowd behaviors, the virtual character attention attributes are divided into the intrinsic attributes and the attention tendency. Based on the various environmental attributes and character attributes, the attention target of a virtual character can be calculated during the walk. Different attention targets lead to different moving heads’ behaviors of characters with different attributes. In this way, we implement the attention individualization of virtual characters, and thereby, improve the diversity of crowd animation.

KW - Crowd animation

KW - Crowd diversification

KW - Environmental attention model

KW - Realistic pedestrian simulation

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DO - 10.1007/978-3-030-22514-8_37

M3 - Conference contribution

AN - SCOPUS:85067684252

SN - 9783030225131

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 402

EP - 409

BT - Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings

A2 - Gavrilova, Marina

A2 - Chang, Jian

A2 - Thalmann, Nadia Magnenat

A2 - Hitzer, Eckhard

A2 - Ishikawa, Hiroshi

PB - Springer Verlag

T2 - 36th Computer Graphics International Conference, CGI 2019

Y2 - 17 June 2019 through 20 June 2019

ER -

Jiao D, Huang T , Ding G, Du Y. Realistic Pedestrian Simulation Based on the Environmental Attention Model. In Gavrilova M, Chang J, Thalmann NM, Thalmann NM, Hitzer E, Ishikawa H, editors, Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings. Springer Verlag. 2019. p. 402-409. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-22514-8_37

Realistic Pedestrian Simulation Based on the Environmental Attention Model

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Keywords

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