Crowd control with vector painting
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, S.J. | - |
dc.contributor.author | Kim, S.-K. | - |
dc.date.accessioned | 2021-10-12T08:43:56Z | - |
dc.date.available | 2021-10-12T08:43:56Z | - |
dc.date.created | 2021-10-12 | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 1443-458X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16402 | - |
dc.description.abstract | Producing crowd simulations is a time-consuming task. The amount of technical work required for controlling relevant crowd parameters is a hurdle for effective production. In this paper we propose a new authoring method that can easily create crowd simulations with intuitive painting interface. For this, Self Organized Distribution Map (SODM), Stroke-based Flow Field and Gradient Vector Flow (GVF) techniques were applied to automatically generate parameters from the image. A hybrid fluid model for crowd dynamics was then applied to create smooth crowd movement. Through this system, a user can quickly create the intended crowd simulation with various movements. This methodology would enable fast crowd simulation prototyping in an intuitive way. Copyright © 2014, Australian Computer Society Inc. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Australian Computer Society | - |
dc.subject | Crowd dynamics | - |
dc.subject | Crowd movements | - |
dc.subject | Crowd Simulation | - |
dc.subject | Distribution maps | - |
dc.subject | Fluid modeling | - |
dc.subject | Gradient vector flow | - |
dc.subject | Technical work | - |
dc.subject | Time-consuming tasks | - |
dc.subject | Information technology | - |
dc.title | Crowd control with vector painting | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kang, S.J. | - |
dc.identifier.scopusid | 2-s2.0-85016959382 | - |
dc.identifier.bibliographicCitation | Journal of Research and Practice in Information Technology, v.46, no.2-3, pp.119 - 131 | - |
dc.relation.isPartOf | Journal of Research and Practice in Information Technology | - |
dc.citation.title | Journal of Research and Practice in Information Technology | - |
dc.citation.volume | 46 | - |
dc.citation.number | 2-3 | - |
dc.citation.startPage | 119 | - |
dc.citation.endPage | 131 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Crowd dynamics | - |
dc.subject.keywordPlus | Crowd movements | - |
dc.subject.keywordPlus | Crowd Simulation | - |
dc.subject.keywordPlus | Distribution maps | - |
dc.subject.keywordPlus | Fluid modeling | - |
dc.subject.keywordPlus | Gradient vector flow | - |
dc.subject.keywordPlus | Technical work | - |
dc.subject.keywordPlus | Time-consuming tasks | - |
dc.subject.keywordPlus | Information technology | - |
dc.subject.keywordAuthor | Crowd simulation | - |
dc.subject.keywordAuthor | Gradient vector flow | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.