Monocular human motion tracking

C. Barrón, I. A. Kakadiaris

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Human motion tracking from monocular image sequences has been explored widely. However, a framework that addresses the variety of sensing conditions is lacking. In this paper, we present a simple, efficient, and robust method for recovering plausible 3D motion from a video without knowledge of the camera's parameters. Our method transforms the motion capture problem into a convex problem and employs a hierarchical geometrical solver for the minimization. This algorithm was applied to numerous synthetic and real image sequences with very encouraging results. Specifically, our results indicate that it can handle challenges posed by variation of lighting, partial self-occlusion, and rapid motion.

Original languageEnglish (US)
Pages (from-to)118-130
Number of pages13
JournalMultimedia Systems
Issue number2
StatePublished - Aug 2004


  • Human motion capture
  • Monocular human motion tracking

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications


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