Learning how to analyse crowd behaviour using synthetic data

A. R. Khadka; M. M. Oghaz; W. Matta; M. Cosentino; P. Remagnino; V. Argyriou

doi:10.1145/3328756.3328773

Learning how to analyse crowd behaviour using synthetic data

A. R. Khadka, M. M. Oghaz, W. Matta, M. Cosentino, P. Remagnino, V. Argyriou

Research output: Contribution to conference › Paper › peer-review

Original language	English
DOIs	https://doi.org/10.1145/3328756.3328773
Publication status	Published - 1 Jul 2019
Event	32nd International Conference on Computer Animation and Social Agents (CASA 2019) - Paris, France Duration: 1 Jul 2019 → 3 Jul 2019

Conference

Conference	32nd International Conference on Computer Animation and Social Agents (CASA 2019)
Period	1/07/19 → 3/07/19

Bibliographical note

Note: In: CASA '19 Proceedings of the 32nd International Conference on Computer Animation and Social Agents. New York, U.S. : Association for Computing Machinery. pp.11-14. ISBN 9781450371599.

This work was supported by the MIDAS project (agreement number G5381), as part of the NATO Science for Peace and Security Programme. The GTX TITAN-X GPU used for this research was donated by the NVIDIA Corporation.

Keywords

Computer science and informatics

Access to Document

10.1145/3328756.3328773

http://dx.doi.org/10.1145/3328756.3328773

Cite this

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AU - Argyriou, V.

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