Data-Driven Crowd Motion Control with Multi-touch Gestures

Shen, Yijun, Henry, Joseph, Wang, He, Ho, Edmond S. L., Komura, Taku and Shum, Hubert P. H. (2018) Data-Driven Crowd Motion Control with Multi-touch Gestures. Computer Graphics Forum, 37 (6). pp. 382-394. ISSN 1467-8659

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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.

Item Type: Article
Uncontrolled Keywords: Animation
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Hubert Shum
Date Deposited: 02 Mar 2018 09:51
Last Modified: 01 Aug 2021 12:03

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