TECHNOLOGIES FOR COMPUTER-ASSISTED CROWD MANAGEMENT

Informations projet

CrowdDNA

N° de convention de subvention: 899739

DOI

10.3030/899739

Projet clôturé

Date de signature de la CE 2 Juin 2020

Date de début 1 Novembre 2020

Date de fin 31 Octobre 2024

Financé au titre de

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Coût total

€ 2 927 697,19

Contribution de l’UE

€ 2 927 697,19

Coordonné par

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (4)

Report on Crowd Observatories
Information system for individuals

Description about the proposed information system for individuals

Crowd management solutions
Information system for authorities

Description about the proposed information system for authorities

Other (5)

Numerical dataset
Field dataset
Laboratory dataset on large groups

Dataset :video data on dense crowds in lab-based environments, involving 100-200 people in various scenarios.

Laboratory dataset on small groups

Dataset on physical interactions with a panoramic system including full-body capture, force plates, and videos.

Website and project logo

Demonstrators, pilots, prototypes (5)

ML Detector to analyse crowd movements in videos
ML Generator to analyse crowd movements in videos
Internal version of the simulator
CrowdDNA simulator prototype
CrowdDNA analysis demonstrator

CrowdDNA analysis prototype

Publications

Conference proceedings (11)

Human Motion Prediction Under Unexpected Perturbation

Auteurs: Jiangbei Yue, Baiyi Li, Julien Petrré, Armin Seyfried, He Wang
Publié dans: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Page(s) 1501-1511
Éditeur: IEEE
DOI: 10.1109/cvpr52733.2024.00149

RSMT: Real-time Stylized Motion Transition for Characters

Auteurs: Xiangjun Tang, Linjun Wu, He Wang, Bo Hu, Xu Gong, Yuchen Liao, Songnan Li, Qilong Kou, Xiaogang Jin
Publié dans: Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings, 2023, Page(s) 1-10
Éditeur: ACM
DOI: 10.1145/3588432.3591514

Defending Black-box Skeleton-based Human Activity Classifiers

Auteurs: He Wang, Yunfeng Diao, Zichang Tan , Guodong Guo
Publié dans: Proceedings of the AAAI conference on Artificial Intelligence 2023, Numéro Annual, 2022
Éditeur: Proceedings of the AAAI conference on Artificial Intelligence 2023
DOI: 10.48550/arxiv.2203.04713

Human Trajectory Prediction via Neural Social Physics

Auteurs: Jiangbei Yue, Dinesh Manocha and He Wang
Publié dans: Proceedings of the European Conference on Computer Vision 2022, Numéro Annual, 2022
Éditeur: Proceedings of the European Conference on Computer Vision 2022
DOI: 10.1007/978-3-031-19830-4_22

Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

Auteurs: Wang, He; He, Feixiang; Shao, Tianjia; Yang, Yongliang; Zhou, Kun; Hogg, David
Publié dans: Wang , H , He , F , Shao , T , Yang , Y , Zhou , K & Hogg , D 2021 , ' Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack ' , Paper presented at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021 , 19/06/21 - 25/06/21 ., Numéro 5, 2021
Éditeur: Computer Vision and Pattern Recognition
DOI: 10.48550/arxiv.2103.05347

Physical Simulation of Balance Recovery after a Push

Auteurs: Alexis Jensen, Thomas Chatagnon, Niloofar Khoshsiyar, Daniele Reda, Michiel Van De Panne, Charles Pontonnier, Julien Pettré
Publié dans: ACM SIGGRAPH Conference on Motion, Interaction and Games, 2023, Page(s) 1-11
Éditeur: ACM
DOI: 10.1145/3623264.3624448

BASAR:Black-box Attack on Skeletal Action Recognition

Auteurs: Yunfeng Diao, Tianjia Shao, Yong-Liang Yang, Kun Zhou, He Wang
Publié dans: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Page(s) 7593-7603
Éditeur: IEEE
DOI: 10.1109/cvpr46437.2021.00751

SMPLitex: A Generative Model and Dataset for 3D Human Texture Estimation from Single Image

Auteurs: Dan Casas and Marc Cominio-Trinidad
Publié dans: 2023
Éditeur: British Machine Vision Conference (BMVC)

Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient

Auteurs: Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang, Hubert P. H. Shum
Publié dans: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2024, Page(s) 4574-4583
Éditeur: IEEE
DOI: 10.1109/iccv51070.2023.00424

iPLAN: Interactive and Procedural Layout Planning

Auteurs: Feixiang He, Yanlong Huang and He Wang
Publié dans: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022, Numéro Annual, 2022
Éditeur: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022
DOI: 10.1109/cvpr52688.2022.00764

Tracking Pedestrian Heads in Dense Crowd

Auteurs: Ramana Sundararaman, Cedric De Almeida Braga, Eric Marchand, Julien Pettre
Publié dans: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Page(s) 3864-3874
Éditeur: IEEE
DOI: 10.1109/cvpr46437.2021.00386

Peer reviewed articles (8)

Stepping strategies of young adults undergoing sudden external perturbation from different directions

Auteurs: Thomas Chatagnon, Anne-Hélène Olivier, Ludovic Hoyet, Julien Pettré, Charles Pontonnier
Publié dans: Journal of Biomechanics, Numéro 157, 2024, Page(s) 111703, ISSN 0021-9290
Éditeur: Elsevier BV
DOI: 10.1016/j.jbiomech.2023.111703

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Auteurs: Wei Xiang, Haoteng YIN, He Wang, Xiaogang Jin
Publié dans: Proceedings of the AAAI Conference on Artificial Intelligence, Numéro 38, 2024, Page(s) 6216-6224, ISSN 2374-3468
Éditeur: The AAAI Conference on Artificial Intelligence (AAAI). 2024
DOI: 10.1609/aaai.v38i6.28439

Understanding the vulnerability of skeleton-based Human Activity Recognition via black-box attack

Auteurs: Yunfeng Diao, He Wang, Tianjia Shao, Yongliang Yang, Kun Zhou, David Hogg, Meng Wang
Publié dans: Pattern Recognition, Numéro 153, 2024, Page(s) 110564, ISSN 0031-3203
Éditeur: Pergamon Press
DOI: 10.1016/j.patcog.2024.110564

Psychological pushing propagation in crowds—Does the observation of pushing behavior promote further intentional pushing?

Auteurs: Helena Lügering, Ahmed Alia, Anna Sieben
Publié dans: Frontiers in Social Psychology, Numéro 1, 2023, ISSN 2813-7876
Éditeur: Frontiers in Social Psychology
DOI: 10.3389/frsps.2023.1263953

Propagation of controlled frontward impulses through standing crowds

Auteurs: Sina Feldmann, Juliane Adrian, Maik Boltes
Publié dans: Collective Dynamics, Numéro 9, 2024, Page(s) 1-16, ISSN 2366-8539
Éditeur: Collective Dynamics
DOI: 10.17815/cd.2024.148

Resolving Collisions in Dense 3D Crowd Animations

Auteurs: Gonzalo Gomez-Nogales, Melania Prieto-Martin, Cristian Romero, Marc Comino-Trinidad, Pablo Ramon-Prieto, Anne-Hélène Olivier, Ludovic Hoyet, Miguel Otaduy, Julien Pettre, Dan Casas
Publié dans: ACM Transactions on Graphics, Numéro 43, 2024, Page(s) 1-14, ISSN 0730-0301
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3687266

A Rumor has Spread like Wildfire? - Empirical Investigation of Information Propagation in Waiting Crowds

Auteurs: Helena Lügering, Anna Sieben
Publié dans: Collective Dynamics, Numéro 9, 2024, Page(s) 1-28, ISSN 2366-8539
Éditeur: Collective Dynamics
DOI: 10.17815/cd.2024.146

Temporal segmentation of motion propagation in response to an external impulse

Auteurs: Sina Feldmann, Thomas Chatagnon, Juliane Adrian, Julien Pettré, Armin Seyfried
Publié dans: Safety Science, Numéro 175, 2024, Page(s) 106512, ISSN 0925-7535
Éditeur: Elsevier BV
DOI: 10.1016/j.ssci.2024.106512

Other (3)

Forward propagation of a push through a tow of people

Auteurs: Sina Feldmann, Juliane Adrian
Publié dans: Safety Science, Numéro Monthly, 2023
Éditeur: Safety Science
DOI: 10.1016/j.ssci.2023.106173

SPH crowds: Agent-based crowd simulation up to extreme densities using fluid dynamics

Auteurs: W. van Toll, T. Chatagnon, C. Braga, B. Solenthaler, J. Pettré
Publié dans: Computers & Graphics Journal 2021, Numéro monthly, 2021
Éditeur: Computers & Graphics Journal 2021
DOI: 10.1016/j.cag.2021.06.005

It’s (not) just a matter of terminology: Everyday understanding of “mass panic” and alternative terms

Auteurs: Helena Lügering, Dilek Tepeli, Anna Sieben
Publié dans: Safety Science, Numéro Monthly, 2022
Éditeur: Safety Science
DOI: 10.1016/j.ssci.2023.106123