A convex penalty method for optical human motion tracking

C. Barrón, I. A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Human motion tracking from monocular image sequences has been explored widely. However, there is a lack of a framework addressing the variety of sensing conditions. 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 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)
Title of host publication1st ACM SIGMM International Workshop on Video Surveillance, IWVS 2003
PublisherAssociation for Computing Machinery, Inc
Pages1-10
Number of pages10
ISBN (Electronic)158113780X, 9781581137804
DOIs
StatePublished - Nov 2 2003
Event1st ACM SIGMM International Workshop on Video Surveillance, IWVS 2003 - Berkeley, United States
Duration: Nov 2 2003Nov 8 2003

Publication series

Name1st ACM SIGMM International Workshop on Video Surveillance, IWVS 2003

Conference

Conference1st ACM SIGMM International Workshop on Video Surveillance, IWVS 2003
Country/TerritoryUnited States
CityBerkeley
Period11/2/0311/8/03

Keywords

  • Human motion capture
  • Monocular human motion tracking

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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