TECHNOLOGIES FOR COMPUTER-ASSISTED CROWD MANAGEMENT

Informazioni relative al progetto

CrowdDNA

ID dell’accordo di sovvenzione: 899739

DOI

10.3030/899739

Progetto chiuso

Data della firma CE 2 Giugno 2020

Data di avvio 1 Novembre 2020

Data di completamento 31 Ottobre 2024

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 2 927 697,19

Contributo UE

€ 2 927 697,19

Coordinato da

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Conference proceedings (11)

Human Motion Prediction Under Unexpected Perturbation

Autori: Jiangbei Yue, Baiyi Li, Julien Petrré, Armin Seyfried, He Wang
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Pagina/e 1501-1511
Editore: IEEE
DOI: 10.1109/cvpr52733.2024.00149

RSMT: Real-time Stylized Motion Transition for Characters

Autori: Xiangjun Tang, Linjun Wu, He Wang, Bo Hu, Xu Gong, Yuchen Liao, Songnan Li, Qilong Kou, Xiaogang Jin
Pubblicato in: Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings, 2023, Pagina/e 1-10
Editore: ACM
DOI: 10.1145/3588432.3591514

Defending Black-box Skeleton-based Human Activity Classifiers

Autori: He Wang, Yunfeng Diao, Zichang Tan , Guodong Guo
Pubblicato in: Proceedings of the AAAI conference on Artificial Intelligence 2023, Numero Annual, 2022
Editore: Proceedings of the AAAI conference on Artificial Intelligence 2023
DOI: 10.48550/arxiv.2203.04713

Human Trajectory Prediction via Neural Social Physics

Autori: Jiangbei Yue, Dinesh Manocha and He Wang
Pubblicato in: Proceedings of the European Conference on Computer Vision 2022, Numero Annual, 2022
Editore: 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

Autori: Wang, He; He, Feixiang; Shao, Tianjia; Yang, Yongliang; Zhou, Kun; Hogg, David
Pubblicato in: 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 ., Numero 5, 2021
Editore: Computer Vision and Pattern Recognition
DOI: 10.48550/arxiv.2103.05347

Physical Simulation of Balance Recovery after a Push

Autori: Alexis Jensen, Thomas Chatagnon, Niloofar Khoshsiyar, Daniele Reda, Michiel Van De Panne, Charles Pontonnier, Julien Pettré
Pubblicato in: ACM SIGGRAPH Conference on Motion, Interaction and Games, 2023, Pagina/e 1-11
Editore: ACM
DOI: 10.1145/3623264.3624448

BASAR:Black-box Attack on Skeletal Action Recognition

Autori: Yunfeng Diao, Tianjia Shao, Yong-Liang Yang, Kun Zhou, He Wang
Pubblicato in: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Pagina/e 7593-7603
Editore: IEEE
DOI: 10.1109/cvpr46437.2021.00751

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

Autori: Dan Casas and Marc Cominio-Trinidad
Pubblicato in: 2023
Editore: British Machine Vision Conference (BMVC)

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

Autori: Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang, Hubert P. H. Shum
Pubblicato in: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2024, Pagina/e 4574-4583
Editore: IEEE
DOI: 10.1109/iccv51070.2023.00424

iPLAN: Interactive and Procedural Layout Planning

Autori: Feixiang He, Yanlong Huang and He Wang
Pubblicato in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022, Numero Annual, 2022
Editore: 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

Autori: Ramana Sundararaman, Cedric De Almeida Braga, Eric Marchand, Julien Pettre
Pubblicato in: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Pagina/e 3864-3874
Editore: IEEE
DOI: 10.1109/cvpr46437.2021.00386

Peer reviewed articles (8)

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

Autori: Thomas Chatagnon, Anne-Hélène Olivier, Ludovic Hoyet, Julien Pettré, Charles Pontonnier
Pubblicato in: Journal of Biomechanics, Numero 157, 2024, Pagina/e 111703, ISSN 0021-9290
Editore: Elsevier BV
DOI: 10.1016/j.jbiomech.2023.111703

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Autori: Wei Xiang, Haoteng YIN, He Wang, Xiaogang Jin
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 38, 2024, Pagina/e 6216-6224, ISSN 2374-3468
Editore: 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

Autori: Yunfeng Diao, He Wang, Tianjia Shao, Yongliang Yang, Kun Zhou, David Hogg, Meng Wang
Pubblicato in: Pattern Recognition, Numero 153, 2024, Pagina/e 110564, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2024.110564

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

Autori: Helena Lügering, Ahmed Alia, Anna Sieben
Pubblicato in: Frontiers in Social Psychology, Numero 1, 2023, ISSN 2813-7876
Editore: Frontiers in Social Psychology
DOI: 10.3389/frsps.2023.1263953

Propagation of controlled frontward impulses through standing crowds

Autori: Sina Feldmann, Juliane Adrian, Maik Boltes
Pubblicato in: Collective Dynamics, Numero 9, 2024, Pagina/e 1-16, ISSN 2366-8539
Editore: Collective Dynamics
DOI: 10.17815/cd.2024.148

Resolving Collisions in Dense 3D Crowd Animations

Autori: 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
Pubblicato in: ACM Transactions on Graphics, Numero 43, 2024, Pagina/e 1-14, ISSN 0730-0301
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3687266

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

Autori: Helena Lügering, Anna Sieben
Pubblicato in: Collective Dynamics, Numero 9, 2024, Pagina/e 1-28, ISSN 2366-8539
Editore: Collective Dynamics
DOI: 10.17815/cd.2024.146

Temporal segmentation of motion propagation in response to an external impulse

Autori: Sina Feldmann, Thomas Chatagnon, Juliane Adrian, Julien Pettré, Armin Seyfried
Pubblicato in: Safety Science, Numero 175, 2024, Pagina/e 106512, ISSN 0925-7535
Editore: Elsevier BV
DOI: 10.1016/j.ssci.2024.106512

Other (3)

Forward propagation of a push through a tow of people

Autori: Sina Feldmann, Juliane Adrian
Pubblicato in: Safety Science, Numero Monthly, 2023
Editore: Safety Science
DOI: 10.1016/j.ssci.2023.106173

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

Autori: W. van Toll, T. Chatagnon, C. Braga, B. Solenthaler, J. Pettré
Pubblicato in: Computers & Graphics Journal 2021, Numero monthly, 2021
Editore: 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

Autori: Helena Lügering, Dilek Tepeli, Anna Sieben
Pubblicato in: Safety Science, Numero Monthly, 2022
Editore: Safety Science
DOI: 10.1016/j.ssci.2023.106123