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Motion swarms: video interaction for art in complex environments

Published: 23 October 2006 Publication History

Abstract

We create interactive art that can be enjoyed by groups such as audiences at public events with the intent to encourage communication with those around us as we play with the art. Video systems are an attractive mechanism to provide interaction with artwork. However, public spaces are complex environments for video analysis systems. Interaction becomes even more difficult when the art is viewed by large groups of people. We describe a video system for interaction with art in public spaces and with large audiences using a model-free, appearance-based approach. Our system extracts parameters that describe the field of motion seen by a camera, and then imposes structure on the scene by introducing a swarm of particles that moves in reaction to the motion field. Constraints placed on the particle movement impose further structure on the motion field. The artistic display reacts to the particles in a manner that is interesting and predictable for participants. We demonstrate our video interaction system with a series of interactive art installations tested with the assistance of a volunteer audience.

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Cited By

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  • (2014)Optical flow-motion history image (OF-MHI) for action recognitionSignal, Image and Video Processing10.1007/s11760-014-0677-99:8(1897-1906)Online publication date: 24-Jul-2014
  • (2013)Action recognition based on statistical analysis from clustered flow vectorsSignal, Image and Video Processing10.1007/s11760-013-0533-38:2(243-253)Online publication date: 3-Aug-2013
  • (2012)Motion history image: its variants and applicationsMachine Vision and Applications10.1007/s00138-010-0298-423:2(255-281)Online publication date: 1-Mar-2012
  • Show More Cited By

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Published In

cover image ACM Conferences
MM '06: Proceedings of the 14th ACM international conference on Multimedia
October 2006
1072 pages
ISBN:1595934472
DOI:10.1145/1180639
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2006

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Author Tags

  1. art installation
  2. audience interaction
  3. interaction through video
  4. motion analysis
  5. motion history image
  6. swarm art

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MM06
MM06: The 14th ACM International Conference on Multimedia 2006
October 23 - 27, 2006
CA, Santa Barbara, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2014)Optical flow-motion history image (OF-MHI) for action recognitionSignal, Image and Video Processing10.1007/s11760-014-0677-99:8(1897-1906)Online publication date: 24-Jul-2014
  • (2013)Action recognition based on statistical analysis from clustered flow vectorsSignal, Image and Video Processing10.1007/s11760-013-0533-38:2(243-253)Online publication date: 3-Aug-2013
  • (2012)Motion history image: its variants and applicationsMachine Vision and Applications10.1007/s00138-010-0298-423:2(255-281)Online publication date: 1-Mar-2012
  • (2011)An optical flow based approach for action recognition14th International Conference on Computer and Information Technology (ICCIT 2011)10.1109/ICCITechn.2011.6164868(646-651)Online publication date: Dec-2011
  • (2011)Approaches for global-based action representations for games and action understandingFace and Gesture 201110.1109/FG.2011.5771342(753-758)Online publication date: Mar-2011
  • (2010)Action recognition by employing combined directional motion history and energy images2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops10.1109/CVPRW.2010.5543160(73-78)Online publication date: Jun-2010
  • (2009)Motion-swarm widgets for video interaction2009 10th Workshop on Image Analysis for Multimedia Interactive Services10.1109/WIAMIS.2009.5031441(97-100)Online publication date: May-2009
  • (2008)Dancing with Swarms: Utilizing Swarm Intelligence to Build, Investigate, and Control Complex SystemsDesign by Evolution10.1007/978-3-540-74111-4_5(69-94)Online publication date: 2008
  • (2008)Evolutionary and Swarm Design in Science, Art, and MusicThe Art of Artificial Evolution10.1007/978-3-540-72877-1_7(145-166)Online publication date: 2008
  • (2007)Your destiny: dynamic interactive installation for digital GesamtkunstwerkProceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia10.1145/1321261.1321286(143-145)Online publication date: 1-Dec-2007

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