Data‐Driven Crowd Motion Control With Multi‐Touch Gestures

dc.contributor.authorShen, Yijunen_US
dc.contributor.authorHenry, Josephen_US
dc.contributor.authorWang, Heen_US
dc.contributor.authorHo, Edmond S. L.en_US
dc.contributor.authorKomura, Takuen_US
dc.contributor.authorShum, Hubert P. H.en_US
dc.contributor.editorChen, Min and Benes, Bedrichen_US
dc.date.accessioned2018-09-19T15:32:48Z
dc.date.available2018-09-19T15:32:48Z
dc.date.issued2018
dc.description.abstractControlling 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 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.en_US
dc.description.number6
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13333
dc.identifier.issn1467-8659
dc.identifier.pages382-394
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13333
dc.identifier.urihttps://doi.org/10.1111/cgf.13333
dc.publisher© 2018 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectAnimation
dc.subjectI.3.7 [Computer Graphics]: Three‐Dimensional Graphics and Realism—Animation
dc.titleData‐Driven Crowd Motion Control With Multi‐Touch Gesturesen_US
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