Seeing the invisible: survey of video motion magnification and small motion analysis

Anh Cat Le Ngo, Raphaël C.-W. Phan

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

Abstract

The latest techniques in video motion magnification and relevant small motion analysis are surveyed. The main motion magnification techniques are discussed in chronological fashion, highlighting the inherent limitations of predecessor techniques in comparison with subsequent variants. The focus is then shifted to the specific stages within the motion magnification framework to discuss advancements that have been proposed in the literature, namely for spatial decomposition and for emphasizing, representing, and distinguishing different motion signals. The survey concludes with a treatment of different problems in varying application contexts that have benefited from motion magnification and small motion analysis.

Original languageEnglish
Article number114
Number of pages20
JournalACM Computing Surveys
Volume52
Issue number6
DOIs
Publication statusPublished - Nov 2020

Keywords

  • Eulerian
  • Lagrangian
  • Motion extraction
  • Motion magnification
  • Motion representation
  • Small motion
  • Video motion

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