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A video-based observation and analysis method to assess human movement and behaviour in crowded areas

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journal contribution
posted on 2014-12-12, 16:31 authored by Shahrol Mohamaddan, Keith Case, Ana S.Z. Abidin
Human movement in the real world provides important information for developing human behaviour models and simulations. However, it is difficult to assess ‘real’ human behaviour since there is no established method available. As part of the AUNTSUE (Accessibility and User Needs in Transport – Sustainable Urban Environments) project, this research aimed to propose a method to assess human movement and behaviour in crowded areas. The method is based on the three major steps of video recording, conceptual behavior modelling and video analysis. The focus is on individual human movement and behaviour in normal situations (panic situations are not considered) and the interactions between individuals in localized areas. Emphasis is placed on gaining knowledge of characteristics of human movement and behaviour in the real world that can be modelled in the virtual environment.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

World Academy of Science, Engineering and Technology, International Journal of Computer, Information, Systems and Control Engineering

Volume

8

Issue

11

Pages

1654 - 1657 (4)

Citation

MOHAMADDAN, S., CASE, K. and ABIDIN, A.S.Z., 2014. A video-based observation and analysis method to assess human movement and behaviour in crowded areas. International Journal of Computer, Information, Systems and Control Engineering, 8 (11), pp. 1654 - 1657.

Publisher

World Academy of Science, Engineering and Technology (WASET)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Publication date

2014

Notes

This article was published by the World Academy of Science, Engineering and Technology under a Creative Commons Attribution (CC BY) license.

Language

  • en

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