Temporal Analysis of Motion in Video Sequences through Predictive Operators

Philippe Burlina, Rama Chellappa

Research output: Contribution to journalArticle

Abstract

We study the problem of recovering temporal parameters which act as predictive operators, generalize time-to-collision and have direct interpretation for navigational purposes for piecewise arbitrarily smooth (polynomial) motion. A result stating that, for monocular observers undergoing arbitrary polynomial laws, these parameters are visually observable, is presented in the first part of this paper. This property suggests an alternate temporal representation of visual looming information. The second part of this paper is concerned with algorithmic approaches for environments with maneuvering agents. A method addressing model order determination, collision detection, and temporal parameter estimation is proposed. Experimental results are reported.

Original languageEnglish (US)
Pages (from-to)175-192
Number of pages18
JournalInternational Journal of Computer Vision
Volume28
Issue number2
DOIs
StatePublished - Jan 1 1998

Keywords

  • Alternate motion/structure representations
  • Motion prediction and estimation
  • Predictive operators
  • Time-to-collision
  • Visual guidance

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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