Unified optical flow field approach to motion analysis from a sequence of stereo images

Y. Q. Shi, C. Q. Shu, J. N. Pan

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In this paper a new approach to motion analysis from stereo image sequences using unified temporal and spatial optical flow field (UOFF) is reported. That is, based on a four-frame rectangular model and the associated six UOFF field quantities, a set of equations is derived from which both position and velocity can be determined. It does not require feature extraction and correspondence establishment, which are known to be difficult, and only partial solutions suitable for simplistic situations have been developed. Furthermore, it is capable of detecting multiple moving objects even when partial occlusion occurs, and is potentially suitable for nonrigid motion analysis. Unlike the current existing techniques for motion analysis from stereo imagery, the recovered motion by using this new approach is for a whole continuous field instead of only for some features. It is a purely optical flow approach. Two experiments are presented to demonstrate the feasibility of the approach.

Original languageEnglish (US)
Pages (from-to)1577-1590
Number of pages14
JournalPattern Recognition
Volume27
Issue number12
DOIs
StatePublished - Dec 1994

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Keywords

  • Computer vision
  • Image sequence processing
  • Motion analysis
  • Optical flow
  • Stereo image sequence
  • Unified optical flow field

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