Spatio-temporal extraction of articulated models in a graph pyramid

  • Authors:
  • Nicole M. Artner;Adrian Ion;Walter G. Kropatsch

  • Affiliations:
  • PRIP, Vienna University of Technology, Austria;PRIP, Vienna University of Technology, Austria and Institute of Science and Technology Austria, IST Austria;PRIP, Vienna University of Technology, Austria

  • Venue:
  • GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
  • Year:
  • 2011

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Abstract

This paper presents a method to create a model of an articulated object using the planar motion in an initialization video. The model consists of rigid parts connected by points of articulation. The rigid parts are described by the positions of salient feature-points tracked throughout the video. Following a filtering step that identifies points that belong to different objects, rigid parts are found by a grouping process in a graph pyramid. Valid articulation points are selected by verifying multiple hypotheses for each pair of parts.