Motion recovery of moving objects under perspective stereo vision

Hiroyuki Kano, Hiroyuki Fujioka, Xinkai Chen, Takehito Sato

Research output: Contribution to journalConference article

Abstract

We consider a problem of recovering motion of an object moving in space under perspective observation. It is assumed that the motion equation is described by a linear system with unknown constant motion parameters and that a single feature point on the object is perspectively observed by two cameras. Then we analyze the identifiability of motion parameters from the stereo image data observed over an interval of time. The identifiability problem is solved by employing theories on linear dynamical systems, and the condition, established as a necessary and sufficient condition, turns out to be the controllability of a modified linear system. Such an analysis is essential when we develop and use any algorithms involving motion parameter identification. Finally, we include numerical results by employing the extended Kalman filter.

Original languageEnglish
Article number412-224
Pages (from-to)103-108
Number of pages6
JournalProceedings of the IASTED International Conference on Modelling, Identification and Control
Volume23
Publication statusPublished - 2004 Dec 1
EventProceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control - Grindelwald, Switzerland
Duration: 2004 Feb 232004 Feb 25

Keywords

  • Controllability
  • Machine vision
  • Motion recovery
  • Perspective stereo vision

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications

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