Motion-keying based dynamical scene layering with adaptive learning

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

Chroma-keying has been widely applied in multimedia. However, its constraints, including stadium setup, mono-chroma detection and specific techniques for video capture, limit the utilization in consumer electronic applications. This paper presents an economical scheme to perform the keying effect based on motion tracking with low requirements on the conditions for keying. An adaptive learning strategy is also developed to perform a layering task without the support of prior knowledge of the scene. An example is given to demonstrate the effect.

Original languageEnglish
Title of host publicationICCAE 2017 : Proceedings of 2017 9th International Conference on Computer and Automation Engineering
PublisherAssociation for Computing Machinery
Pages111-115
Number of pages5
VolumePart F127852
ISBN (Electronic)9781450348096
DOIs
Publication statusPublished - 18 Feb 2017
Event9th International Conference on Computer and Automation Engineering, ICCAE 2017 - Sydney, Australia
Duration: 18 Feb 201721 Feb 2017

Conference

Conference9th International Conference on Computer and Automation Engineering, ICCAE 2017
CountryAustralia
CitySydney
Period18/02/1721/02/17

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Keywords

  • Video keying
  • motion-keying
  • adaptive learning
  • scene layering

Cite this

Liu, Z., Kavakli-Thorne, M., McCallum, S., & Hamey, L. (2017). Motion-keying based dynamical scene layering with adaptive learning. In ICCAE 2017 : Proceedings of 2017 9th International Conference on Computer and Automation Engineering (Vol. Part F127852, pp. 111-115). Association for Computing Machinery. https://doi.org/10.1145/3057039.3057085, https://doi.org/10.1145/3057039.3057085