Spatio-temporal moments and generalized spectral analysis of divergent images for motion estimation

P. Burlina, R. Chellappa

Research output: Contribution to journalConference articlepeer-review


This paper addresses the use of transform methods applied to the analysis of dynamic sequences and to the characterization of image motion. It is shown that image motion resulting from arbitrary 3D camera translation is conveniently analyzed in the Mellin transform (MT) domain associated with space as well as time dimensions, resulting in the desired factorization of the generalized spectrum into a structural component corresponding to the spatial MT of the static image and a MT component depending on the image motion itself (a motion support). This has potential applications for the recovery of image motion and time to collision (TTC) from integral image brightness measurements. We study the relationship between TTC to an imaged object on the resulting MT spectral motion support; conversely we study the recovery of TTC from MT spectral analysis along time and space directions. Different cases of Mellin parameters are examined.

Original languageEnglish (US)
Article number413329
Pages (from-to)328-332
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
StatePublished - Jan 1 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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