Analyzing looming motion components from their spatiotemporal spectral signature

Phillipe Burlina, Rama Chellappa

Research output: Contribution to journalArticlepeer-review


This paper addresses the use of spatiotemporal transform methods applied to the analysis of dynamic image sequences and the characterization of image motion. Image motion including a divergent component (resulting from a looming camera component) is analyzed in the spatiotemporal Mellin Transform (WIT) domain resulting in the separation of the spectrum into two parts: a structural term corresponding to the spatial MT of the static image and a kinematic term depending on Time-to-Collision (a motion support). We examine potential applications of this property for the recovery of image motion from integral image brightness measurements and the computation of Time-To-Collision using spatiotemporal MT analysis.

Original languageEnglish (US)
Pages (from-to)1029-1033
Number of pages5
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Issue number10
StatePublished - 1996
Externally publishedYes


  • Frequency domain analysis
  • Mellin Iransforms
  • Motion analysis
  • Spectral structure
  • Time-to-collision

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics


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