Diffusion adaptation for crowd analysis

Falcon-Caro, A. and Sanei, S. ORCID: 0000-0002-3437-2801, 2021. Diffusion adaptation for crowd analysis. In: 2021 International Conference on e-Health and Bioengineering (EHB 2021). Piscataway, N.J.: IEEE. ISBN 9781665440011

Full text not available from this repository.

Abstract

In this paper we develop a diffusion adaptation network to model the crowd movement and investigate the cooperation and self-organization ability of the people as network agents when they move towards the same target while facing the variation in space and arbitrary static obstacles. The crowd model is considered as a network of connected agents with adaptive abilities including some flexibilities in their movement speed and distances to battle a pandemic situation. The pathway varies in width and the agents adapt their distances and speeds to safely reach to their target. The model effectiveness is examined with respect to the changes in real environment parameters.

Item Type: Chapter in book
Description: Paper presented at the 2021 International Conference on e-Health and Bioengineering (EHB 2021), Iasi, Romania, 18-19 November 2021.
Creators: Falcon-Caro, A. and Sanei, S.
Publisher: IEEE
Place of Publication: Piscataway, N.J.
Date: 30 December 2021
ISBN: 9781665440011
Identifiers:
NumberType
10.1109/ehb52898.2021.9657730DOI
1566369Other
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 19 Jul 2022 14:52
Last Modified: 19 Jul 2022 14:52
URI: http://irep.ntu.ac.uk/id/eprint/46644

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year