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Article: Data-Driven Crowd Motion Control With Multi-Touch Gestures

TitleData-Driven Crowd Motion Control With Multi-Touch Gestures
Authors
KeywordsAnimation
Issue Date2018
Citation
Computer Graphics Forum, 2018, v. 37, n. 6, p. 382-394 How to Cite?
Abstract© 2018 The Authors Computer Graphics Forum published by John Wiley & Sons Ltd. Controlling a crowd using multi-touch devices appeals to the computer games and animation industries, as such devices provide a high-dimensional control signal that can effectively define the crowd formation and movement. However, existing works relying on pre-defined control schemes require the users to learn a scheme that may not be intuitive. We propose a data-driven gesture-based crowd control system, in which the control scheme is learned from example gestures provided by different users. In particular, we build a database with pairwise samples of gestures and crowd motions. To effectively generalize the gesture style of different users, such as the use of different numbers of fingers, we propose a set of gesture features for representing a set of hand gesture trajectories. Similarly, to represent crowd motion trajectories of different numbers of characters over time, we propose a set of crowd motion features that are extracted from a Gaussian mixture model. Given a run-time gesture, our system extracts the K nearest gestures from the database and interpolates the corresponding crowd motions in order to generate the run-time control. Our system is accurate and efficient, making it suitable for real-time applications such as real-time strategy games and interactive animation controls.
Persistent Identifierhttp://hdl.handle.net/10722/288920
ISSN
2023 Impact Factor: 2.7
2023 SCImago Journal Rankings: 1.968
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShen, Yijun-
dc.contributor.authorHenry, Joseph-
dc.contributor.authorWang, He-
dc.contributor.authorHo, Edmond S.L.-
dc.contributor.authorKomura, Taku-
dc.contributor.authorShum, Hubert P.H.-
dc.date.accessioned2020-10-12T08:06:13Z-
dc.date.available2020-10-12T08:06:13Z-
dc.date.issued2018-
dc.identifier.citationComputer Graphics Forum, 2018, v. 37, n. 6, p. 382-394-
dc.identifier.issn0167-7055-
dc.identifier.urihttp://hdl.handle.net/10722/288920-
dc.description.abstract© 2018 The Authors Computer Graphics Forum published by John Wiley & Sons Ltd. Controlling a crowd using multi-touch devices appeals to the computer games and animation industries, as such devices provide a high-dimensional control signal that can effectively define the crowd formation and movement. However, existing works relying on pre-defined control schemes require the users to learn a scheme that may not be intuitive. We propose a data-driven gesture-based crowd control system, in which the control scheme is learned from example gestures provided by different users. In particular, we build a database with pairwise samples of gestures and crowd motions. To effectively generalize the gesture style of different users, such as the use of different numbers of fingers, we propose a set of gesture features for representing a set of hand gesture trajectories. Similarly, to represent crowd motion trajectories of different numbers of characters over time, we propose a set of crowd motion features that are extracted from a Gaussian mixture model. Given a run-time gesture, our system extracts the K nearest gestures from the database and interpolates the corresponding crowd motions in order to generate the run-time control. Our system is accurate and efficient, making it suitable for real-time applications such as real-time strategy games and interactive animation controls.-
dc.languageeng-
dc.relation.ispartofComputer Graphics Forum-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAnimation-
dc.titleData-Driven Crowd Motion Control With Multi-Touch Gestures-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1111/cgf.13333-
dc.identifier.scopuseid_2-s2.0-85044415061-
dc.identifier.volume37-
dc.identifier.issue6-
dc.identifier.spage382-
dc.identifier.epage394-
dc.identifier.eissn1467-8659-
dc.identifier.isiWOS:000437272800023-
dc.identifier.issnl0167-7055-

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